Big Data Algorithms And Food Safety

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Harnessing Big Data in Food Safety

Author : Jeffrey Farber
Publisher : Springer Nature
ISBN 13 : 3031071794
Total Pages : 166 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Harnessing Big Data in Food Safety by : Jeffrey Farber

Download or read book Harnessing Big Data in Food Safety written by Jeffrey Farber and published by Springer Nature. This book was released on 2022-11-23 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data technologies have the potential to revolutionize the agriculture sector, in particular food safety and quality practices. This book is designed to provide a foundational understanding of various applications of Big Data in Food Safety. Big Data requires the use of sophisticated approaches for cleaning, processing and extracting useful information to improve decision-making. The contributed volume reviews some of these approaches and algorithms in the context of real-world food safety studies. Food safety and quality related data are being generated in large volumes and from a variety of sources such as farms, processors, retailers, government organizations, and other industries. The editors have included examples of how big data can be used in the fields of bacteriology, virology and mycology to improve food safety. Additional chapters detail how the big data sources are aggregated and used in food safety and quality areas such as food spoilage and quality deterioration along the supply chain, food supply chain traceability, as well as policy and regulations. The volume also contains solutions to address standardization, data interoperability, and other data governance and data related technical challenges. Furthermore, this volume discusses how the application of machine-learning has successfully improved the speed and/or accuracy of many processes in the food supply chain, and also discusses some of the inherent challenges. Included in this volume as well is a practical example of the digital transformation that happened in Dubai, with a particular emphasis on how data is enabling better decision-making in food safety. To complete this volume, researchers discuss how although big data is and will continue to be a major disruptor in the area of food safety, it also raises some important questions with regards to issues such as security/privacy, data control and data governance, all of which must be carefully considered by governments and law makers.

Big Data, Algorithms and Food Safety

Author : Salvatore Sapienza
Publisher :
ISBN 13 : 9783031093685
Total Pages : 0 pages
Book Rating : 4.0/5 (936 download)

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Book Synopsis Big Data, Algorithms and Food Safety by : Salvatore Sapienza

Download or read book Big Data, Algorithms and Food Safety written by Salvatore Sapienza and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book identifies the principles that should be applied when processing Big Data in the context of food safety risk assessments. Food safety is a critical goal in the protection of individuals' right to health and the flourishing of the food and feed market. Big Data is fostering new applications capable of enhancing the accuracy of food safety risk assessments. An extraordinary amount of information is analysed to detect the existence or predict the likelihood of future risks, also by means of machine learning algorithms. Big Data and novel analysis techniques are topics of growing interest for food safety agencies, including the European Food Safety Authority (EFSA). This wealth of information brings with it both opportunities and risks concerning the extraction of meaningful inferences from data. However, conflicting interests and tensions among the parties involved are hindering efforts to find shared methods for steering the processing of Big Data in a sound, transparent and trustworthy way. While consumers call for more transparency, food business operators tend to be reluctant to share informational assets. This has resulted in a considerable lack of trust in the EU food safety system. A recent legislative reform, supported by new legal cases, aims to restore confidence in the risk analysis system by reshaping the meaning of data ownership in this domain. While this regulatory approach is being established, breakthrough analytics techniques are encouraging thinking about the next steps in managing food safety data in the age of machine learning. The book focuses on two core topics - data ownership and data governance - by evaluating how the regulatory framework addresses the challenges raised by Big Data and its analysis in an applied, significant, and overlooked domain. To do so, it adopts an interdisciplinary approach that considers both the technological advances and the policy tools adopted in the European Union, while also assuming an ethical perspective when exploring potential solutions. The conclusion puts forward a proposal: an ethical blueprint for identifying the principles - Security, Accountability, Fairness, Explainability, Transparency and Privacy - to be observed when processing Big Data for food safety purposes, including by means of machine learning. Possible implementations are then discussed, also in connection with two recent legislative proposals, namely the Data Governance Act and the Artificial Intelligence Act.

Big Data, Algorithms and Food Safety

Author : Salvatore Sapienza
Publisher : Springer Nature
ISBN 13 : 3031093674
Total Pages : 225 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Big Data, Algorithms and Food Safety by : Salvatore Sapienza

Download or read book Big Data, Algorithms and Food Safety written by Salvatore Sapienza and published by Springer Nature. This book was released on 2022-10-20 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book identifies the principles that should be applied when processing Big Data in the context of food safety risk assessments. Food safety is a critical goal in the protection of individuals’ right to health and the flourishing of the food and feed market. Big Data is fostering new applications capable of enhancing the accuracy of food safety risk assessments. An extraordinary amount of information is analysed to detect the existence or predict the likelihood of future risks, also by means of machine learning algorithms. Big Data and novel analysis techniques are topics of growing interest for food safety agencies, including the European Food Safety Authority (EFSA). This wealth of information brings with it both opportunities and risks concerning the extraction of meaningful inferences from data. However, conflicting interests and tensions among the parties involved are hindering efforts to find shared methods for steering the processing of Big Data in a sound, transparent and trustworthy way. While consumers call for more transparency, food business operators tend to be reluctant to share informational assets. This has resulted in a considerable lack of trust in the EU food safety system. A recent legislative reform, supported by new legal cases, aims to restore confidence in the risk analysis system by reshaping the meaning of data ownership in this domain. While this regulatory approach is being established, breakthrough analytics techniques are encouraging thinking about the next steps in managing food safety data in the age of machine learning. The book focuses on two core topics – data ownership and data governance – by evaluating how the regulatory framework addresses the challenges raised by Big Data and its analysis in an applied, significant, and overlooked domain. To do so, it adopts an interdisciplinary approach that considers both the technological advances and the policy tools adopted in the European Union, while also assuming an ethical perspective when exploring potential solutions. The conclusion puts forward a proposal: an ethical blueprint for identifying the principles – Security, Accountability, Fairness, Explainability, Transparency and Privacy – to be observed when processing Big Data for food safety purposes, including by means of machine learning. Possible implementations are then discussed, also in connection with two recent legislative proposals, namely the Data Governance Act and the Artificial Intelligence Act.

Algorithms For Big Data

Author : Moran Feldman
Publisher : World Scientific
ISBN 13 : 9811204756
Total Pages : 458 pages
Book Rating : 4.8/5 (112 download)

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Book Synopsis Algorithms For Big Data by : Moran Feldman

Download or read book Algorithms For Big Data written by Moran Feldman and published by World Scientific. This book was released on 2020-07-13 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique volume is an introduction for computer scientists, including a formal study of theoretical algorithms for Big Data applications, which allows them to work on such algorithms in the future. It also serves as a useful reference guide for the general computer science population, providing a comprehensive overview of the fascinating world of such algorithms.To achieve these goals, the algorithmic results presented have been carefully chosen so that they demonstrate the important techniques and tools used in Big Data algorithms, and yet do not require tedious calculations or a very deep mathematical background.

Advances in Artificial Intelligence, Big Data and Algorithms

Author : G. Grigoras
Publisher : IOS Press
ISBN 13 : 1643684450
Total Pages : 1224 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis Advances in Artificial Intelligence, Big Data and Algorithms by : G. Grigoras

Download or read book Advances in Artificial Intelligence, Big Data and Algorithms written by G. Grigoras and published by IOS Press. This book was released on 2023-12-19 with total page 1224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computers and automation have revolutionized the lives of most people in the last two decades, and terminology such as algorithms, big data and artificial intelligence have become part of our everyday discourse. This book presents the proceedings of CAIBDA 2023, the 3rd International Conference on Artificial Intelligence, Big Data and Algorithms, held from 16 - 18 June 2023 as a hybrid conference in Zhengzhou, China. The conference provided a platform for some 200 participants to discuss the theoretical and computational aspects of research in artificial intelligence, big data and algorithms, reviewing the present status and future perspectives of the field. A total of 362 submissions were received for the conference, of which 148 were accepted following a thorough double-blind peer review. Topics covered at the conference included artificial intelligence tools and applications; intelligent estimation and classification; representation formats for multimedia big data; high-performance computing; and mathematical and computer modeling, among others. The book provides a comprehensive overview of this fascinating field, exploring future scenarios and highlighting areas where new ideas have emerged over recent years. It will be of interest to all those whose work involves artificial intelligence, big data and algorithms.

Food Safety Management

Author : Veslemøy Andersen
Publisher : Academic Press
ISBN 13 : 032390209X
Total Pages : 1160 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Food Safety Management by : Veslemøy Andersen

Download or read book Food Safety Management written by Veslemøy Andersen and published by Academic Press. This book was released on 2023-03-28 with total page 1160 pages. Available in PDF, EPUB and Kindle. Book excerpt: Food Safety Management: A Practical Guide for the Food Industry, Second Edition continues to present a comprehensive, integrated and practical approach to the management of food safety throughout the production chain. While many books address specific aspects of food safety, no other book guides you through the various risks associated with each sector of the production process or alerts you to the measures needed to mitigate those risks. This new edition provides practical examples of incidents and their root causes, highlighting pitfalls in food safety management and providing key insights into different means for avoiding them. Each section addresses its subject in terms of relevance and application to food safety and, where applicable, spoilage. The book covers all types of risks (e.g., microbial, chemical, physical) associated with each step of the food chain, making it an ideal resource. Addresses risks and controls at various stages of the food supply chain based on food type, including a generic HACCP study and new information on FSMA Covers the latest emerging technologies for ensuring food safety Includes observations on what works and what doesn't on issues in food safety management Provides practical guidelines for the implementation of elements of the food safety assurance system Explains the role of different stakeholders of the food supply

Artificial Intelligence for Big Data

Author : Anand Deshpande
Publisher : Packt Publishing Ltd
ISBN 13 : 1788476018
Total Pages : 371 pages
Book Rating : 4.7/5 (884 download)

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Book Synopsis Artificial Intelligence for Big Data by : Anand Deshpande

Download or read book Artificial Intelligence for Big Data written by Anand Deshpande and published by Packt Publishing Ltd. This book was released on 2018-05-22 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build next-generation Artificial Intelligence systems with Java Key Features Implement AI techniques to build smart applications using Deeplearning4j Perform big data analytics to derive quality insights using Spark MLlib Create self-learning systems using neural networks, NLP, and reinforcement learning Book Description In this age of big data, companies have larger amount of consumer data than ever before, far more than what the current technologies can ever hope to keep up with. However, Artificial Intelligence closes the gap by moving past human limitations in order to analyze data. With the help of Artificial Intelligence for big data, you will learn to use Machine Learning algorithms such as k-means, SVM, RBF, and regression to perform advanced data analysis. You will understand the current status of Machine and Deep Learning techniques to work on Genetic and Neuro-Fuzzy algorithms. In addition, you will explore how to develop Artificial Intelligence algorithms to learn from data, why they are necessary, and how they can help solve real-world problems. By the end of this book, you'll have learned how to implement various Artificial Intelligence algorithms for your big data systems and integrate them into your product offerings such as reinforcement learning, natural language processing, image recognition, genetic algorithms, and fuzzy logic systems. What you will learn Manage Artificial Intelligence techniques for big data with Java Build smart systems to analyze data for enhanced customer experience Learn to use Artificial Intelligence frameworks for big data Understand complex problems with algorithms and Neuro-Fuzzy systems Design stratagems to leverage data using Machine Learning process Apply Deep Learning techniques to prepare data for modeling Construct models that learn from data using open source tools Analyze big data problems using scalable Machine Learning algorithms Who this book is for This book is for you if you are a data scientist, big data professional, or novice who has basic knowledge of big data and wish to get proficiency in Artificial Intelligence techniques for big data. Some competence in mathematics is an added advantage in the field of elementary linear algebra and calculus.

Big Data for the Greater Good

Author : Ali Emrouznejad
Publisher : Springer
ISBN 13 : 3319930613
Total Pages : 204 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Big Data for the Greater Good by : Ali Emrouznejad

Download or read book Big Data for the Greater Good written by Ali Emrouznejad and published by Springer. This book was released on 2018-07-13 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights some of the most fascinating current uses, thought-provoking changes, and biggest challenges that Big Data means for our society. The explosive growth of data and advances in Big Data analytics have created a new frontier for innovation, competition, productivity, and well-being in almost every sector of our society, as well as a source of immense economic and societal value. From the derivation of customer feedback-based insights to fraud detection and preserving privacy; better medical treatments; agriculture and food management; and establishing low-voltage networks – many innovations for the greater good can stem from Big Data. Given the insights it provides, this book will be of interest to both researchers in the field of Big Data, and practitioners from various fields who intend to apply Big Data technologies to improve their strategic and operational decision-making processes.

Machine Learning Models and Algorithms for Big Data Classification

Author : Shan Suthaharan
Publisher : Springer
ISBN 13 : 1489976418
Total Pages : 359 pages
Book Rating : 4.4/5 (899 download)

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Book Synopsis Machine Learning Models and Algorithms for Big Data Classification by : Shan Suthaharan

Download or read book Machine Learning Models and Algorithms for Big Data Classification written by Shan Suthaharan and published by Springer. This book was released on 2015-10-20 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents machine learning models and algorithms to address big data classification problems. Existing machine learning techniques like the decision tree (a hierarchical approach), random forest (an ensemble hierarchical approach), and deep learning (a layered approach) are highly suitable for the system that can handle such problems. This book helps readers, especially students and newcomers to the field of big data and machine learning, to gain a quick understanding of the techniques and technologies; therefore, the theory, examples, and programs (Matlab and R) presented in this book have been simplified, hardcoded, repeated, or spaced for improvements. They provide vehicles to test and understand the complicated concepts of various topics in the field. It is expected that the readers adopt these programs to experiment with the examples, and then modify or write their own programs toward advancing their knowledge for solving more complex and challenging problems. The presentation format of this book focuses on simplicity, readability, and dependability so that both undergraduate and graduate students as well as new researchers, developers, and practitioners in this field can easily trust and grasp the concepts, and learn them effectively. It has been written to reduce the mathematical complexity and help the vast majority of readers to understand the topics and get interested in the field. This book consists of four parts, with the total of 14 chapters. The first part mainly focuses on the topics that are needed to help analyze and understand data and big data. The second part covers the topics that can explain the systems required for processing big data. The third part presents the topics required to understand and select machine learning techniques to classify big data. Finally, the fourth part concentrates on the topics that explain the scaling-up machine learning, an important solution for modern big data problems.

Food Industry 4.0

Author : Abdo Hassoun
Publisher : Elsevier
ISBN 13 : 0443155178
Total Pages : 314 pages
Book Rating : 4.4/5 (431 download)

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Book Synopsis Food Industry 4.0 by : Abdo Hassoun

Download or read book Food Industry 4.0 written by Abdo Hassoun and published by Elsevier. This book was released on 2024-04-15 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developments in Food Quality and Safety Series is the most up-to-date resource covering trend topics such as Advances in the analysis of toxic compounds and control of food poisoning; Food fraud, traceability and authenticity; Revalorization of agrifood industry; Natural antimicrobial compounds and application to improve the preservation of food; Non-thermal processing technologies in the food industry; Nanotechnology in food production; and Intelligent packaging and sensors for food applications. Volume 4, Food Industry 4.0: Emerging Trends and Technologies in Food Production and Consumption covers several technologies (e.g., robotics, smart sensors, artificial intelligence, and big data) at different development and research levels in order to provide holistic multidisciplinary approaches that embrace simultaneously as many Industry 4.0 technologies as possible, reflecting the long journey of food from farm (or sea) to fork. Chapters explore automation, digitalization, and green technologies, besides food quality, food safety food traceability, processing and preservation 4.0. Topics such as smart sensors, artificial intelligence and big data revolution, additive manufacturing, and emerging food trends are also explored. The series is edited by Dr. José Manuel Lorenzo and authored by a team of global experts in the fields of Food Quality and Safety, providing comprehensive knowledge to food industry personals and scientists. Provides a comprehensive view of Industry 4.0 technologies as applied to the food industry Covers the most trend topics related to novel foods in the light of emerging innovations and developments Discusses how implementing innovative technologies holds significant potential to increase efficiency and value added, save time and cost, and increase profitability in various food sectors

Thinking about the future of food safety

Author : Food and Agriculture Organization of the United Nations
Publisher : Food & Agriculture Org.
ISBN 13 : 9251357838
Total Pages : 158 pages
Book Rating : 4.2/5 (513 download)

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Book Synopsis Thinking about the future of food safety by : Food and Agriculture Organization of the United Nations

Download or read book Thinking about the future of food safety written by Food and Agriculture Organization of the United Nations and published by Food & Agriculture Org.. This book was released on 2022-03-04 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: Agrifood systems are undergoing a transformation with the aim to provide safer, more affordable, and healthier diets for all, produced in a sustainable manner while delivering just and equitable livelihoods: a key to achieving the UN’s 2030 Agenda for Sustainable Development. However, this transformation needs to be executed in the global context of major challenges facing the food and agriculture sectors, with drivers such as climate change, population growth, urbanization, and natural resources depletion compounding these challenges. Food safety is a keystone to agrifood systems and all food safety actors need to keep pace with the ongoing transformation while preparing to navigate the potential threats, disruptions, and challenges that may arise. Foresight in food safety facilitates the proactive identification of drivers and related trends, both within and outside agrifood systems, that have implications for food safety and therefore also for consumer health, the national economy, and international trade. Early identification and evaluation of drivers and trends promote strategic planning and preparedness to take advantage of emerging opportunities and address challenges in food safety. In this publication, the FAO Food Safety Foresight programme provides an overview of the major global drivers and trends by describing their implications for food safety in particular and for agrifood systems by extrapolation. The various drivers and trends reported include climate change, changing consumer behaviour and preferences, new food sources and production systems, technological advances, microbiome, circular economy, food fraud, among others. The intended audience for this publication is broad – from the policymakers, academia, food business operators, private sector, to all of us, the consumers.

Present Knowledge in Food Safety

Author : Michael E. Knowles
Publisher : Academic Press
ISBN 13 : 0128231548
Total Pages : 1190 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Present Knowledge in Food Safety by : Michael E. Knowles

Download or read book Present Knowledge in Food Safety written by Michael E. Knowles and published by Academic Press. This book was released on 2022-10-08 with total page 1190 pages. Available in PDF, EPUB and Kindle. Book excerpt: Present Knowledge in Food Safety: A Risk-Based Approach Through the Food Chain presents approaches for exposure-led risk assessment and the management of changes in the chemical, pathogenic microbiological and physical (radioactivity) contamination of ’food’ at all key stages of production, from farm to consumption. This single volume resource introduces scientific advances at all stages of the production to improve reliability, predictability and relevance of food safety assessments for the protection of public health. This book is aimed at a diverse audience, including graduate and post-graduate students in food science, toxicology, microbiology, medicine, public health, and related fields. The book's reach also includes government agencies, industrial scientists, and policymakers involved in food risk analysis. Includes new technologies such as nanotechnology, genetic modification, and cloning Provides information on advances in pathogen risk assessment through novel and real-time molecular biological techniques, biomarkers, resistance measurement, and cell-to-cell communication in the gut Covers the role of the microbiome and the use of surrogates (especially for viruses)

Building the Future of Food Safety Technology

Author : Darin Detwiler
Publisher : Academic Press
ISBN 13 : 0128189533
Total Pages : 310 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Building the Future of Food Safety Technology by : Darin Detwiler

Download or read book Building the Future of Food Safety Technology written by Darin Detwiler and published by Academic Press. This book was released on 2020-06-16 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building the Future of Food Safety Technology: Blockchain and Beyond focuses on evaluating, developing, testing and predicting Blockchain’s impact on the food industry, the types of regulatory compliance needed, and other topics important pertaining to consumers. Blockchain is a technology that can be used to record transactions from multiple entities across a complex network. A record on a blockchain cannot be altered retroactively without the alteration of all preceding blocks and the consensus of the network. Blockchain is often associated with cryptocurrency, but it is being looked at more and more as a solution to food-supply problems. Presents the latest information on Blockchain’s impact in the food industry Bridges food technology and food safety Provides guidance and expert insights on the food supply chain

State of Threat

Author : Wil Hoverd
Publisher : Massey University Press
ISBN 13 : 1991016638
Total Pages : 365 pages
Book Rating : 4.9/5 (91 download)

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Book Synopsis State of Threat by : Wil Hoverd

Download or read book State of Threat written by Wil Hoverd and published by Massey University Press. This book was released on 2023-11-16 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increasing US&– China tensions, Russia' s invasion of Ukraine, disruptions to supply chains and maritime trade, right-wing extremism, gangs and the drug trade . . . The international and domestic security environment is dynamic and fraught. In State of Threat, local and international academics and sector experts discuss the issues facing New Zealand across defence, diplomacy, intelligence, policy, trade and border management.This timely and up-to-date analysis of New Zealand' s most important security issues is a must-read for policy analysts, those working in risk management and industry leaders across all sectors of the economy.

Early warning tools and systems for emerging issues in food safety – Technical background

Author : Food and Agriculture Organization of the United Nations
Publisher : Food & Agriculture Org.
ISBN 13 : 9251384991
Total Pages : 74 pages
Book Rating : 4.2/5 (513 download)

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Book Synopsis Early warning tools and systems for emerging issues in food safety – Technical background by : Food and Agriculture Organization of the United Nations

Download or read book Early warning tools and systems for emerging issues in food safety – Technical background written by Food and Agriculture Organization of the United Nations and published by Food & Agriculture Org.. This book was released on 2023-12-28 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt: Early warning (EW) systems have a critical role in the reduction of risks from various hazards. The capability and capacity to identify early signals and emerging food safety risks, and to provide on-time EW that would allow for the mitigation of related upcoming risks have therefore become vital for national and international authorities and organizations dealing with food safety. The developments in early warning systems show a shift from reactive towards proactive systems. With the rapid development of modern systems fed by numerous, real-time and diverse data, as well as the advancements achieved in artificial intelligence and machine learning techniques, increasingly tested and validated digital methods and models have become available for food safety early warning and analysis. This technical background report enhances the awareness of the available evidence-based innovative digital tools and provides technical background information to support their use for proactive food safety early warning.

Encyclopedia of Food Chemistry

Author :
Publisher : Elsevier
ISBN 13 : 0128140453
Total Pages : 2217 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Encyclopedia of Food Chemistry by :

Download or read book Encyclopedia of Food Chemistry written by and published by Elsevier. This book was released on 2018-11-22 with total page 2217 pages. Available in PDF, EPUB and Kindle. Book excerpt: Encyclopedia of Food Chemistry, Three Volume Set is the ideal primer for food scientists, researchers, students and young professionals who want to acquaint themselves with food chemistry. Well-organized, clearly written, and abundantly referenced, the book provides a foundation for readers to understand the principles, concepts, and techniques used in food chemistry applications. Articles are written by international experts and cover a wide range of topics, including food chemistry, food components and their interactions, properties (flavor, aroma, texture) the structure of food, functional foods, processing, storage, nanoparticles for food use, antioxidants, the Maillard and Strecker reactions, process derived contaminants, and the detection of economically-motivated food adulteration. The encyclopedia will provide readers with an introduction to specific topics within the wider context of food chemistry, as well as helping them identify the links between the various sub-topics. Offers readers a comprehensive understanding of food chemistry and the various connections between the sub-topics Provides an authoritative introduction for non-specialists and readers from undergraduate levels and upwards Meticulously organized, with articles structured logically based on the various elements of food chemistry

Data Algorithms

Author : Mahmoud Parsian
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491906154
Total Pages : 778 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Data Algorithms by : Mahmoud Parsian

Download or read book Data Algorithms written by Mahmoud Parsian and published by "O'Reilly Media, Inc.". This book was released on 2015-07-13 with total page 778 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step by step through the algorithms and tools you need to build distributed MapReduce applications with Apache Hadoop or Apache Spark. Each chapter provides a recipe for solving a massive computational problem, such as building a recommendation system. You’ll learn how to implement the appropriate MapReduce solution with code that you can use in your projects. Dr. Mahmoud Parsian covers basic design patterns, optimization techniques, and data mining and machine learning solutions for problems in bioinformatics, genomics, statistics, and social network analysis. This book also includes an overview of MapReduce, Hadoop, and Spark. Topics include: Market basket analysis for a large set of transactions Data mining algorithms (K-means, KNN, and Naive Bayes) Using huge genomic data to sequence DNA and RNA Naive Bayes theorem and Markov chains for data and market prediction Recommendation algorithms and pairwise document similarity Linear regression, Cox regression, and Pearson correlation Allelic frequency and mining DNA Social network analysis (recommendation systems, counting triangles, sentiment analysis)