Intelligent Techniques For Predictive Data Analytics

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Intelligent Techniques for Predictive Data Analytics

Author : Neha Singh
Publisher : Wiley-IEEE Press
ISBN 13 : 9781394227969
Total Pages : 0 pages
Book Rating : 4.2/5 (279 download)

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Book Synopsis Intelligent Techniques for Predictive Data Analytics by : Neha Singh

Download or read book Intelligent Techniques for Predictive Data Analytics written by Neha Singh and published by Wiley-IEEE Press. This book was released on 2024-10-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive resource covering tools and techniques used for predictive analytics with practical applications across various industries Intelligent Techniques for Predictive Data Analytics provides an in-depth introduction of the tools and techniques used for predictive analytics, covering applications in cyber security, network security, data mining, and machine learning across various industries. Each chapter offers a brief introduction on the subject to make the text accessible regardless of background knowledge. Readers will gain a clear understanding of how to use data processing, classification, and analysis to support strategic decisions, such as by optimizing marketing strategies and customer relationship management and recommendation systems, improving general business operations, and predicting occurrence of chronic diseases for better patient management. Traditional data analytics uses dashboards to illustrate trends and outliers, but with large data sets, the process is labor-intensive and time-consuming. This book provides everything readers need to save time by performing deep, efficient analysis without human bias and time constraints. A section on current challenges in the field is also included. Intelligent Techniques for Predictive Data Analytics covers sample topics such as: ● Models to choose from in predictive modeling, including classification, clustering, forecast, outlier, and time series models ● Price forecasting, quality optimization, and insect and disease plant and monitoring in agriculture ● Fraud detection and prevention, credit scoring, financial planning, and customer analytics in banking ● Big data in smart grids, smart grid analytics, and predictive smart grid quality monitoring, maintenance, and load forecasting ● Management of uncertainty in predictive data analytics and probable future developments in the field Intelligent Techniques for Predictive Data Analytics is an essential resource on the subject for professionals and researchers working in data science or data management seeking to understand the different models of predictive analytics, along with graduate students studying data science courses and professionals and academics new to the field.

Big Data Analytics and Intelligent Techniques for Smart Cities

Author : Kolla Bhanu Prakash
Publisher : CRC Press
ISBN 13 : 1000413314
Total Pages : 297 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Big Data Analytics and Intelligent Techniques for Smart Cities by : Kolla Bhanu Prakash

Download or read book Big Data Analytics and Intelligent Techniques for Smart Cities written by Kolla Bhanu Prakash and published by CRC Press. This book was released on 2021-09-20 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big Data Analytics and Intelligent Techniques for Smart Cities covers fundamentals, advanced concepts, and applications of big data analytics for smart cities in a single volume. This comprehensive reference text discusses big data theory modeling and simulation for smart cities and examines case studies in a single volume. The text discusses how to develop a smart city and state-of-the-art system design, system verification, real-time control and adaptation, Internet of Things, and testbeds. It covers applications of smart cities as they relate to smart transportation/connected vehicle (CV) and intelligent transportation systems (ITS) for improved mobility, safety, and environmental protection. It will be useful as a reference text for graduate students in different areas including electrical engineering, computer science engineering, civil engineering, and electronics and communications engineering. Features: Technologies and algorithms associated with the application of big data for smart cities Discussions on big data theory modeling and simulation for smart cities Applications of smart cities as they relate to smart transportation and intelligent transportation systems (ITS) Discussions on concepts including smart education, smart culture, and smart transformation management for social and societal changes

Optimizing Big Data Management and Industrial Systems With Intelligent Techniques

Author : Öner, Sultan Ceren
Publisher : IGI Global
ISBN 13 : 1522551387
Total Pages : 238 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Optimizing Big Data Management and Industrial Systems With Intelligent Techniques by : Öner, Sultan Ceren

Download or read book Optimizing Big Data Management and Industrial Systems With Intelligent Techniques written by Öner, Sultan Ceren and published by IGI Global. This book was released on 2018-12-07 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: In order to survive an increasingly competitive market, corporations must adopt and employ optimization techniques and big data analytics for more efficient product development and value creation. Understanding the strengths, weaknesses, opportunities, and threats of new techniques and manufacturing processes allows companies to succeed during the rise of Industry 4.0. Optimizing Big Data Management and Industrial Systems With Intelligent Techniques explores optimization techniques, recommendation systems, and manufacturing processes that support the evaluation of cyber-physical systems, end-to-end engineering, and digitalized control systems. Featuring coverage on a broad range of topics such as digital economy, fuzzy logic, and data linkage methods, this book is ideally designed for manufacturers, engineers, professionals, managers, academicians, and students.

Data Science

Author : Pallavi Vijay Chavan
Publisher : CRC Press
ISBN 13 : 1000613429
Total Pages : 322 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Data Science by : Pallavi Vijay Chavan

Download or read book Data Science written by Pallavi Vijay Chavan and published by CRC Press. This book was released on 2022-08-15 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the topic of data science in a comprehensive manner and synthesizes both fundamental and advanced topics of a research area that has now reached its maturity. The book starts with the basic concepts of data science. It highlights the types of data and their use and importance, followed by a discussion on a wide range of applications of data science and widely used techniques in data science. Key Features • Provides an internationally respected collection of scientific research methods, technologies and applications in the area of data science. • Presents predictive outcomes by applying data science techniques to real-life applications. • Provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods. • Gives the reader a variety of intelligent applications that can be designed using data science and its allied fields. The book is aimed primarily at advanced undergraduates and graduates studying machine learning and data science. Researchers and professionals will also find this book useful.

Intelligent Techniques for Data Science

Author : Rajendra Akerkar
Publisher : Springer
ISBN 13 : 3319292064
Total Pages : 272 pages
Book Rating : 4.3/5 (192 download)

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Book Synopsis Intelligent Techniques for Data Science by : Rajendra Akerkar

Download or read book Intelligent Techniques for Data Science written by Rajendra Akerkar and published by Springer. This book was released on 2016-10-11 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods. These embrace the family of neural networks, fuzzy systems and evolutionary computing in addition to other fields within machine learning, and will help in identifying, visualizing, classifying and analyzing data to support business decisions./p> The authors, discuss advantages and drawbacks of different approaches, and present a sound foundation for the reader to design and implement data analytic solutions for real‐world applications in an intelligent manner. Intelligent Techniques for Data Science also provides real-world cases of extracting value from data in various domains such as retail, health, aviation, telecommunication and tourism.

Managerial Perspectives on Intelligent Big Data Analytics

Author : Sun, Zhaohao
Publisher : IGI Global
ISBN 13 : 1522572783
Total Pages : 335 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Managerial Perspectives on Intelligent Big Data Analytics by : Sun, Zhaohao

Download or read book Managerial Perspectives on Intelligent Big Data Analytics written by Sun, Zhaohao and published by IGI Global. This book was released on 2019-02-22 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data, analytics, and artificial intelligence are revolutionizing work, management, and lifestyles and are becoming disruptive technologies for healthcare, e-commerce, and web services. However, many fundamental, technological, and managerial issues for developing and applying intelligent big data analytics in these fields have yet to be addressed. Managerial Perspectives on Intelligent Big Data Analytics is a collection of innovative research that discusses the integration and application of artificial intelligence, business intelligence, digital transformation, and intelligent big data analytics from a perspective of computing, service, and management. While highlighting topics including e-commerce, machine learning, and fuzzy logic, this book is ideally designed for students, government officials, data scientists, managers, consultants, analysts, IT specialists, academicians, researchers, and industry professionals in fields that include big data, artificial intelligence, computing, and commerce.

Intelligent Data Analytics for Terror Threat Prediction

Author : Subhendu Kumar Pani
Publisher : John Wiley & Sons
ISBN 13 : 1119711517
Total Pages : 352 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Intelligent Data Analytics for Terror Threat Prediction by : Subhendu Kumar Pani

Download or read book Intelligent Data Analytics for Terror Threat Prediction written by Subhendu Kumar Pani and published by John Wiley & Sons. This book was released on 2021-01-12 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent data analytics for terror threat prediction is an emerging field of research at the intersection of information science and computer science, bringing with it a new era of tremendous opportunities and challenges due to plenty of easily available criminal data for further analysis. This book provides innovative insights that will help obtain interventions to undertake emerging dynamic scenarios of criminal activities. Furthermore, it presents emerging issues, challenges and management strategies in public safety and crime control development across various domains. The book will play a vital role in improvising human life to a great extent. Researchers and practitioners working in the fields of data mining, machine learning and artificial intelligence will greatly benefit from this book, which will be a good addition to the state-of-the-art approaches collected for intelligent data analytics. It will also be very beneficial for those who are new to the field and need to quickly become acquainted with the best performing methods. With this book they will be able to compare different approaches and carry forward their research in the most important areas of this field, which has a direct impact on the betterment of human life by maintaining the security of our society. No other book is currently on the market which provides such a good collection of state-of-the-art methods for intelligent data analytics-based models for terror threat prediction, as intelligent data analytics is a newly emerging field and research in data mining and machine learning is still in the early stage of development.

Convergence of Big Data Technologies and Computational Intelligent Techniques

Author : Gupta, Govind P.
Publisher : IGI Global
ISBN 13 : 1668452669
Total Pages : 256 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Convergence of Big Data Technologies and Computational Intelligent Techniques by : Gupta, Govind P.

Download or read book Convergence of Big Data Technologies and Computational Intelligent Techniques written by Gupta, Govind P. and published by IGI Global. This book was released on 2022-09-16 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advanced computational intelligence techniques have been designed and developed in recent years to cope with various big data challenges and provide fast and efficient analytics that assist in making critical decisions. With the rapid evolution and development of internet-based services and applications, this technology is receiving attention from researchers, industries, and academic communities and requires additional study. Convergence of Big Data Technologies and Computational Intelligent Techniques considers recent advancements in big data and computational intelligence across fields and disciplines and discusses the various opportunities and challenges of adoption. Covering topics such as deep learning, data mining, smart environments, and high-performance computing, this reference work is crucial for computer scientists, engineers, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

Intelligent Techniques and Applications in Science and Technology

Author : Subhojit Dawn
Publisher : Springer Nature
ISBN 13 : 3030423638
Total Pages : 1126 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Intelligent Techniques and Applications in Science and Technology by : Subhojit Dawn

Download or read book Intelligent Techniques and Applications in Science and Technology written by Subhojit Dawn and published by Springer Nature. This book was released on 2020-03-02 with total page 1126 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides innovative ideas on achieving sustainable development and using green technologies to conserve our ecosystem. Innovation is the successful exploitation of a new idea. Through innovation, we can achieve MORE while using LESS. Innovations in science & technology will not only help mankind as a whole, but also contribute to the economic growth of individual countries. It is essential that the global problem of environmental degradation be addressed immediately, and thus, we need to rethink the concept of sustainable development. Indeed, new environmentally friendly technologies are fundamental to attaining sustainable development. The book shares a wealth of innovative green technological ideas on how to preserve and improve the quality of the environment, and how to establish a more resource-efficient and sustainable society. The book provides an interdisciplinary approach to addressing various technical issues and capitalizing on advances in computing & optimization for scientific & technological development, smart information, communication, bio-monitoring, smart cities, food quality assessment, waste management, environmental aspects, alternative energies, sustainable infrastructure development, etc. In short, it offers valuable information and insights for budding engineers, researchers, upcoming young minds and industry professionals, promoting awareness for recent advances in the various fields mentioned above.

Intelligent Data Analysis

Author : Michael Berthold
Publisher : Springer
ISBN 13 :
Total Pages : 424 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Intelligent Data Analysis by : Michael Berthold

Download or read book Intelligent Data Analysis written by Michael Berthold and published by Springer. This book was released on 1999-07-08 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a detailed introductory presentation of the key classes of intelligent data analysis (IDA) methods. The first part of the book discusses classical statistical issues. The following chapters concentrate on machine learning and artificial intelligence and provide introductions to the topics of rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a higher level overview of the IDA process and illustrations of its application.

Mastering Predictive Analytics with R

Author : Rui Miguel Forte
Publisher : Packt Publishing Ltd
ISBN 13 : 1783982810
Total Pages : 414 pages
Book Rating : 4.7/5 (839 download)

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Book Synopsis Mastering Predictive Analytics with R by : Rui Miguel Forte

Download or read book Mastering Predictive Analytics with R written by Rui Miguel Forte and published by Packt Publishing Ltd. This book was released on 2015-06-17 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: R offers a free and open source environment that is perfect for both learning and deploying predictive modeling solutions in the real world. With its constantly growing community and plethora of packages, R offers the functionality to deal with a truly vast array of problems. This book is designed to be both a guide and a reference for moving beyond the basics of predictive modeling. The book begins with a dedicated chapter on the language of models and the predictive modeling process. Each subsequent chapter tackles a particular type of model, such as neural networks, and focuses on the three important questions of how the model works, how to use R to train it, and how to measure and assess its performance using real world data sets. By the end of this book, you will have explored and tested the most popular modeling techniques in use on real world data sets and mastered a diverse range of techniques in predictive analytics.

Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems

Author : Kose, Utku
Publisher : IGI Global
ISBN 13 : 1522547703
Total Pages : 381 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems by : Kose, Utku

Download or read book Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems written by Kose, Utku and published by IGI Global. This book was released on 2018-03-31 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technological tools and computational techniques have enhanced the healthcare industry. These advancements have led to significant progress and novel opportunities for biomedical engineering. Nature-Inspired Intelligent Techniques for Solving Biomedical Engineering Problems is a pivotal reference source for emerging scholarly research on trends and techniques in the utilization of nature-inspired approaches in biomedical engineering. Featuring extensive coverage on relevant areas such as artificial intelligence, clinical decision support systems, and swarm intelligence, this publication is an ideal resource for medical practitioners, professionals, students, engineers, and researchers interested in the latest developments in biomedical technologies.

Artificial Intelligence for Information Management: A Healthcare Perspective

Author : K. G. Srinivasa
Publisher : Springer Nature
ISBN 13 : 9811604150
Total Pages : 332 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Artificial Intelligence for Information Management: A Healthcare Perspective by : K. G. Srinivasa

Download or read book Artificial Intelligence for Information Management: A Healthcare Perspective written by K. G. Srinivasa and published by Springer Nature. This book was released on 2021-05-20 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the advancements in artificial intelligent techniques used in the well-being of human healthcare. It details the techniques used in collection, storage and analysis of data and their usage in different healthcare solutions. It also discusses the techniques of predictive analysis in early diagnosis of critical diseases. The edited book is divided into four parts – part A discusses introduction to artificial intelligence and machine learning in healthcare; part B highlights different analytical techniques used in healthcare; part C provides various security and privacy mechanisms used in healthcare; and finally, part D exemplifies different tools used in visualization and data analytics.

Guide to Intelligent Data Analysis

Author : Michael R. Berthold
Publisher : Springer Science & Business Media
ISBN 13 : 184882260X
Total Pages : 399 pages
Book Rating : 4.8/5 (488 download)

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Book Synopsis Guide to Intelligent Data Analysis by : Michael R. Berthold

Download or read book Guide to Intelligent Data Analysis written by Michael R. Berthold and published by Springer Science & Business Media. This book was released on 2010-06-23 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: Each passing year bears witness to the development of ever more powerful computers, increasingly fast and cheap storage media, and even higher bandwidth data connections. This makes it easy to believe that we can now – at least in principle – solve any problem we are faced with so long as we only have enough data. Yet this is not the case. Although large databases allow us to retrieve many different single pieces of information and to compute simple aggregations, general patterns and regularities often go undetected. Furthermore, it is exactly these patterns, regularities and trends that are often most valuable. To avoid the danger of “drowning in information, but starving for knowledge” the branch of research known as data analysis has emerged, and a considerable number of methods and software tools have been developed. However, it is not these tools alone but the intelligent application of human intuition in combination with computational power, of sound background knowledge with computer-aided modeling, and of critical reflection with convenient automatic model construction, that results in successful intelligent data analysis projects. Guide to Intelligent Data Analysis provides a hands-on instructional approach to many basic data analysis techniques, and explains how these are used to solve data analysis problems. Topics and features: guides the reader through the process of data analysis, following the interdependent steps of project understanding, data understanding, data preparation, modeling, and deployment and monitoring; equips the reader with the necessary information in order to obtain hands-on experience of the topics under discussion; provides a review of the basics of classical statistics that support and justify many data analysis methods, and a glossary of statistical terms; includes numerous examples using R and KNIME, together with appendices introducing the open source software; integrates illustrations and case-study-style examples to support pedagogical exposition. This practical and systematic textbook/reference for graduate and advanced undergraduate students is also essential reading for all professionals who face data analysis problems. Moreover, it is a book to be used following one’s exploration of it. Dr. Michael R. Berthold is Nycomed-Professor of Bioinformatics and Information Mining at the University of Konstanz, Germany. Dr. Christian Borgelt is Principal Researcher at the Intelligent Data Analysis and Graphical Models Research Unit of the European Centre for Soft Computing, Spain. Dr. Frank Höppner is Professor of Information Systems at Ostfalia University of Applied Sciences, Germany. Dr. Frank Klawonn is a Professor in the Department of Computer Science and Head of the Data Analysis and Pattern Recognition Laboratory at Ostfalia University of Applied Sciences, Germany. He is also Head of the Bioinformatics and Statistics group at the Helmholtz Centre for Infection Research, Braunschweig, Germany.

Industry 4.0 Technologies: Sustainable Manufacturing Supply Chains

Author : Vimal K E K
Publisher : Springer Nature
ISBN 13 : 9819948940
Total Pages : 206 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Industry 4.0 Technologies: Sustainable Manufacturing Supply Chains by : Vimal K E K

Download or read book Industry 4.0 Technologies: Sustainable Manufacturing Supply Chains written by Vimal K E K and published by Springer Nature. This book was released on 2023-09-13 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers topics related to implementation of advanced technologies, such as AI, big data, procurement 4.0, Logistics 4.0 and Lean 4.0, in Industry 4.0 for the manufacturing supply chain. Many applications of Industry 4.0 in the manufacturing supply chain have been presented. The content of this book is useful for students, researchers and professionals in order to implement Industry 4.0 in manufacturing supply chain.

Intelligent Data Analysis

Author : Deepak Gupta
Publisher : John Wiley & Sons
ISBN 13 : 1119544467
Total Pages : 444 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Intelligent Data Analysis by : Deepak Gupta

Download or read book Intelligent Data Analysis written by Deepak Gupta and published by John Wiley & Sons. This book was released on 2020-04-27 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on methods and tools for intelligent data analysis, aimed at narrowing the increasing gap between data gathering and data comprehension, and emphasis will also be given to solving of problems which result from automated data collection, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and so on. This book aims to describe the different approaches of Intelligent Data Analysis from a practical point of view: solving common life problems with data analysis tools.

Intelligent Data Analysis

Author : Michael Berthold
Publisher : Springer
ISBN 13 : 9783662039700
Total Pages : 401 pages
Book Rating : 4.0/5 (397 download)

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Book Synopsis Intelligent Data Analysis by : Michael Berthold

Download or read book Intelligent Data Analysis written by Michael Berthold and published by Springer. This book was released on 2014-03-12 with total page 401 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a detailed introductory presentation of the key classes of intelligent data analysis (IDA) methods. The first part of the book discusses classical statistical issues. The following chapters concentrate on machine learning and artificial intelligence and provide introductions to the topics of rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a higher level overview of the IDA process and illustrations of its application.