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Systems for Big Graph Analytics

Author : Da Yan
Publisher : Springer
ISBN 13 : 3319582178
Total Pages : 93 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Systems for Big Graph Analytics by : Da Yan

Download or read book Systems for Big Graph Analytics written by Da Yan and published by Springer. This book was released on 2017-05-31 with total page 93 pages. Available in PDF, EPUB and Kindle. Book excerpt: There has been a surging interest in developing systems for analyzing big graphs generated by real applications, such as online social networks and knowledge graphs. This book aims to help readers get familiar with the computation models of various graph processing systems with minimal time investment. This book is organized into three parts, addressing three popular computation models for big graph analytics: think-like-a-vertex, think-likea- graph, and think-like-a-matrix. While vertex-centric systems have gained great popularity, the latter two models are currently being actively studied to solve graph problems that cannot be efficiently solved in vertex-centric model, and are the promising next-generation models for big graph analytics. For each part, the authors introduce the state-of-the-art systems, emphasizing on both their technical novelties and hands-on experiences of using them. The systems introduced include Giraph, Pregel+, Blogel, GraphLab, CraphChi, X-Stream, Quegel, SystemML, etc. Readers will learn how to design graph algorithms in various graph analytics systems, and how to choose the most appropriate system for a particular application at hand. The target audience for this book include beginners who are interested in using a big graph analytics system, and students, researchers and practitioners who would like to build their own graph analytics systems with new features.

Data Analytics

Author : Mohiuddin Ahmed
Publisher : CRC Press
ISBN 13 : 0429820909
Total Pages : 442 pages
Book Rating : 4.4/5 (298 download)

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Book Synopsis Data Analytics by : Mohiuddin Ahmed

Download or read book Data Analytics written by Mohiuddin Ahmed and published by CRC Press. This book was released on 2018-09-21 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: Large data sets arriving at every increasing speeds require a new set of efficient data analysis techniques. Data analytics are becoming an essential component for every organization and technologies such as health care, financial trading, Internet of Things, Smart Cities or Cyber Physical Systems. However, these diverse application domains give rise to new research challenges. In this context, the book provides a broad picture on the concepts, techniques, applications, and open research directions in this area. In addition, it serves as a single source of reference for acquiring the knowledge on emerging Big Data Analytics technologies.

Data Analytics

Author : Mohiuddin Ahmed
Publisher : CRC Press
ISBN 13 : 0429820917
Total Pages : 451 pages
Book Rating : 4.4/5 (298 download)

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Book Synopsis Data Analytics by : Mohiuddin Ahmed

Download or read book Data Analytics written by Mohiuddin Ahmed and published by CRC Press. This book was released on 2018-09-21 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: Large data sets arriving at every increasing speeds require a new set of efficient data analysis techniques. Data analytics are becoming an essential component for every organization and technologies such as health care, financial trading, Internet of Things, Smart Cities or Cyber Physical Systems. However, these diverse application domains give rise to new research challenges. In this context, the book provides a broad picture on the concepts, techniques, applications, and open research directions in this area. In addition, it serves as a single source of reference for acquiring the knowledge on emerging Big Data Analytics technologies.

Computer Science and Education

Author : Wenxing Hong
Publisher : Springer Nature
ISBN 13 : 981992443X
Total Pages : 753 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Computer Science and Education by : Wenxing Hong

Download or read book Computer Science and Education written by Wenxing Hong and published by Springer Nature. This book was released on 2023-05-13 with total page 753 pages. Available in PDF, EPUB and Kindle. Book excerpt: This three-volume set constitues selected papers presented during the 17th International Conference on Computer Science and Education, ICCSE 2022, held in Ningbo, China, in August 2022. The 168 full papers and 43 short papers presented were thoroughly reviewed and selected from the 510 submissions. They focus on a wide range of computer science topics, especially AI, data science, and engineering, and technology-based education, by addressing frontier technical and business issues essential to the applications of data science in both higher education and advancing e-Society.

Cooperative Information Systems

Author : Mohamed Sellami
Publisher : Springer Nature
ISBN 13 : 3031178343
Total Pages : 347 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Cooperative Information Systems by : Mohamed Sellami

Download or read book Cooperative Information Systems written by Mohamed Sellami and published by Springer Nature. This book was released on 2022-09-24 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume LNCS 13591 constitutes the proceedings of the International Conference on Cooperative Information Systems, CoopIS 2022, collocated with the Enterprise Design, Operations and Computing conference, EDOC 2022, in October 2022 in Bozen-Bolzano, Italy. The 15 regular papers presented together with 5 research in progress papers were carefully reviewed and selected from 68 submissions. The conference focuses on technical, economical, and societal aspects of distributed information systems at scale. As said, this 28th edition was collocated with the 26th edition of the Enterprise Design, Operations and Computing conference, EDOC 2022, and its guiding theme was "Information Systems in a Digital World“.

Big Data Analytics and Knowledge Discovery

Author : Ladjel Bellatreche
Publisher : Springer
ISBN 13 : 3319642839
Total Pages : 489 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Big Data Analytics and Knowledge Discovery by : Ladjel Bellatreche

Download or read book Big Data Analytics and Knowledge Discovery written by Ladjel Bellatreche and published by Springer. This book was released on 2017-08-11 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 19th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2017, held in Lyon, France, in August 2017. The 24 revised full papers and 11 short papers presented were carefully reviewed and selected from 97 submissions. The papers are organized in the following topical sections: new generation data warehouses design; cloud and NoSQL databases; advanced programming paradigms; non-functional requirements satisfaction; machine learning; social media and twitter analysis; sentiment analysis and user influence; knowledge discovery; and data flow management and optimization.

Advances in Intelligent Networking and Collaborative Systems

Author : Leonard Barolli
Publisher : Springer
ISBN 13 : 3319656368
Total Pages : 635 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Advances in Intelligent Networking and Collaborative Systems by : Leonard Barolli

Download or read book Advances in Intelligent Networking and Collaborative Systems written by Leonard Barolli and published by Springer. This book was released on 2017-08-14 with total page 635 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim of this book is to provide the latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to intelligent social networks and collaborative systems, intelligent networking systems, mobile collaborative systems, secure intelligent cloud systems, etc., and to reveal synergies among various paradigms in the multi-disciplinary field of intelligent collaborative systems. It presents the Proceedings of the 9th International Conference on Intelligent Networking and Collaborative Systems (INCoS-2017), held on August 24–26, 2017 in Toronto, Canada. With the rapid evolution of the Internet, we are currently experiencing a shift from the traditional sharing of information and applications as the main purpose of the Web to an emergent paradigm that puts people at the very centre of networks and exploits the value of people’s connections, relations and collaborations. Social networks are also pla ying a major role in the dynamics and structure of intelligent Web-based networking and collaborative systems. Virtual campuses, virtual communities and organizations effectively leverage intelligent networking and collaborative systems by tapping into a broad range of formal and informal electronic relations, such as business-to-business, peer-to-peer and many types of online collaborative learning interactions, including the emerging e-learning systems. This has resulted in entangled systems that need to be managed efficiently and autonomously. In addition, the latest and powerful technologies based on Grid and wireless infrastructure as well as Cloud computing are now greatly enhancing collaborative and networking applications, but are also facing new issues and challenges. The principal objective of the research and development community is to stimulate research that leads to the creation of responsive environments for networking and, in the longer-term, the developmen t of adaptive, secure, mobile, and intuitive intelligent systems for collaborative work and learning.

Big Data Analytics in Genomics

Author : Ka-Chun Wong
Publisher : Springer
ISBN 13 : 3319412795
Total Pages : 426 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Big Data Analytics in Genomics by : Ka-Chun Wong

Download or read book Big Data Analytics in Genomics written by Ka-Chun Wong and published by Springer. This book was released on 2016-10-24 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: This contributed volume explores the emerging intersection between big data analytics and genomics. Recent sequencing technologies have enabled high-throughput sequencing data generation for genomics resulting in several international projects which have led to massive genomic data accumulation at an unprecedented pace. To reveal novel genomic insights from this data within a reasonable time frame, traditional data analysis methods may not be sufficient or scalable, forcing the need for big data analytics to be developed for genomics. The computational methods addressed in the book are intended to tackle crucial biological questions using big data, and are appropriate for either newcomers or veterans in the field.This volume offers thirteen peer-reviewed contributions, written by international leading experts from different regions, representing Argentina, Brazil, China, France, Germany, Hong Kong, India, Japan, Spain, and the USA. In particular, the book surveys three main areas: statistical analytics, computational analytics, and cancer genome analytics. Sample topics covered include: statistical methods for integrative analysis of genomic data, computation methods for protein function prediction, and perspectives on machine learning techniques in big data mining of cancer. Self-contained and suitable for graduate students, this book is also designed for bioinformaticians, computational biologists, and researchers in communities ranging from genomics, big data, molecular genetics, data mining, biostatistics, biomedical science, cancer research, medical research, and biology to machine learning and computer science. Readers will find this volume to be an essential read for appreciating the role of big data in genomics, making this an invaluable resource for stimulating further research on the topic.

COLLABORATIVE COMPUTING - NETWORKING, APPLICATIONS AND WORKSHARING

Author : Honghao Gao
Publisher : Springer Nature
ISBN 13 : 3031545281
Total Pages : 544 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis COLLABORATIVE COMPUTING - NETWORKING, APPLICATIONS AND WORKSHARING by : Honghao Gao

Download or read book COLLABORATIVE COMPUTING - NETWORKING, APPLICATIONS AND WORKSHARING written by Honghao Gao and published by Springer Nature. This book was released on 2024 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Graph Representation Learning

Author : William L. William L. Hamilton
Publisher : Springer Nature
ISBN 13 : 3031015886
Total Pages : 141 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Graph Representation Learning by : William L. William L. Hamilton

Download or read book Graph Representation Learning written by William L. William L. Hamilton and published by Springer Nature. This book was released on 2022-06-01 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt: Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis. This book provides a synthesis and overview of graph representation learning. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs—a nascent but quickly growing subset of graph representation learning.

Handbook of Research on Cloud Infrastructures for Big Data Analytics

Author : Raj, Pethuru
Publisher : IGI Global
ISBN 13 : 1466658657
Total Pages : 592 pages
Book Rating : 4.4/5 (666 download)

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Book Synopsis Handbook of Research on Cloud Infrastructures for Big Data Analytics by : Raj, Pethuru

Download or read book Handbook of Research on Cloud Infrastructures for Big Data Analytics written by Raj, Pethuru and published by IGI Global. This book was released on 2014-03-31 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clouds are being positioned as the next-generation consolidated, centralized, yet federated IT infrastructure for hosting all kinds of IT platforms and for deploying, maintaining, and managing a wider variety of personal, as well as professional applications and services. Handbook of Research on Cloud Infrastructures for Big Data Analytics focuses exclusively on the topic of cloud-sponsored big data analytics for creating flexible and futuristic organizations. This book helps researchers and practitioners, as well as business entrepreneurs, to make informed decisions and consider appropriate action to simplify and streamline the arduous journey towards smarter enterprises.

Semiconductor Memories and Systems

Author : Andrea Redaelli
Publisher : Woodhead Publishing
ISBN 13 : 0128209461
Total Pages : 364 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Semiconductor Memories and Systems by : Andrea Redaelli

Download or read book Semiconductor Memories and Systems written by Andrea Redaelli and published by Woodhead Publishing. This book was released on 2022-06-07 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Semiconductor Memories and Systems provides a comprehensive overview of the current state of semiconductor memory at the technology and system levels. After an introduction on market trends and memory applications, the book focuses on mainstream technologies, illustrating their current status, challenges and opportunities, with special attention paid to scalability paths. Technologies discussed include static random access memory (SRAM), dynamic random access memory (DRAM), non-volatile memory (NVM), and NAND flash memory. Embedded memory and requirements and system level needs for storage class memory are also addressed. Each chapter covers physical operating mechanisms, fabrication technologies, and the main challenges to scalability.Finally, the work reviews the emerging trends for storage class memory, mainly focusing on the advantages and opportunities of phase change based memory technologies. - Features contributions from experts from leading companies in semiconductor memory - Discusses physical operating mechanisms, fabrication technologies and paths to scalability for current and emerging semiconductor memories - Reviews primary memory technologies, including SRAM, DRAM, NVM and NAND flash memory - Includes emerging storage class memory technologies such as phase change memory

Big Data Analytics

Author : Venkat Ankam
Publisher : Packt Publishing Ltd
ISBN 13 : 1785889702
Total Pages : 326 pages
Book Rating : 4.7/5 (858 download)

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Book Synopsis Big Data Analytics by : Venkat Ankam

Download or read book Big Data Analytics written by Venkat Ankam and published by Packt Publishing Ltd. This book was released on 2016-09-28 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: A handy reference guide for data analysts and data scientists to help to obtain value from big data analytics using Spark on Hadoop clusters About This Book This book is based on the latest 2.0 version of Apache Spark and 2.7 version of Hadoop integrated with most commonly used tools. Learn all Spark stack components including latest topics such as DataFrames, DataSets, GraphFrames, Structured Streaming, DataFrame based ML Pipelines and SparkR. Integrations with frameworks such as HDFS, YARN and tools such as Jupyter, Zeppelin, NiFi, Mahout, HBase Spark Connector, GraphFrames, H2O and Hivemall. Who This Book Is For Though this book is primarily aimed at data analysts and data scientists, it will also help architects, programmers, and practitioners. Knowledge of either Spark or Hadoop would be beneficial. It is assumed that you have basic programming background in Scala, Python, SQL, or R programming with basic Linux experience. Working experience within big data environments is not mandatory. What You Will Learn Find out and implement the tools and techniques of big data analytics using Spark on Hadoop clusters with wide variety of tools used with Spark and Hadoop Understand all the Hadoop and Spark ecosystem components Get to know all the Spark components: Spark Core, Spark SQL, DataFrames, DataSets, Conventional and Structured Streaming, MLLib, ML Pipelines and Graphx See batch and real-time data analytics using Spark Core, Spark SQL, and Conventional and Structured Streaming Get to grips with data science and machine learning using MLLib, ML Pipelines, H2O, Hivemall, Graphx, SparkR and Hivemall. In Detail Big Data Analytics book aims at providing the fundamentals of Apache Spark and Hadoop. All Spark components – Spark Core, Spark SQL, DataFrames, Data sets, Conventional Streaming, Structured Streaming, MLlib, Graphx and Hadoop core components – HDFS, MapReduce and Yarn are explored in greater depth with implementation examples on Spark + Hadoop clusters. It is moving away from MapReduce to Spark. So, advantages of Spark over MapReduce are explained at great depth to reap benefits of in-memory speeds. DataFrames API, Data Sources API and new Data set API are explained for building Big Data analytical applications. Real-time data analytics using Spark Streaming with Apache Kafka and HBase is covered to help building streaming applications. New Structured streaming concept is explained with an IOT (Internet of Things) use case. Machine learning techniques are covered using MLLib, ML Pipelines and SparkR and Graph Analytics are covered with GraphX and GraphFrames components of Spark. Readers will also get an opportunity to get started with web based notebooks such as Jupyter, Apache Zeppelin and data flow tool Apache NiFi to analyze and visualize data. Style and approach This step-by-step pragmatic guide will make life easy no matter what your level of experience. You will deep dive into Apache Spark on Hadoop clusters through ample exciting real-life examples. Practical tutorial explains data science in simple terms to help programmers and data analysts get started with Data Science

How to Lie with Statistics

Author : Darrell Huff
Publisher : W. W. Norton & Company
ISBN 13 : 0393070875
Total Pages : 144 pages
Book Rating : 4.3/5 (93 download)

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Book Synopsis How to Lie with Statistics by : Darrell Huff

Download or read book How to Lie with Statistics written by Darrell Huff and published by W. W. Norton & Company. This book was released on 2010-12-07 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you want to outsmart a crook, learn his tricks—Darrell Huff explains exactly how in the classic How to Lie with Statistics. From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product to sell. With abundant examples and illustrations, Darrell Huff’s lively and engaging primer clarifies the basic principles of statistics and explains how they’re used to present information in honest and not-so-honest ways. Now even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled.

Frontiers in Massive Data Analysis

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309287812
Total Pages : 191 pages
Book Rating : 4.3/5 (92 download)

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Book Synopsis Frontiers in Massive Data Analysis by : National Research Council

Download or read book Frontiers in Massive Data Analysis written by National Research Council and published by National Academies Press. This book was released on 2013-09-03 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data mining of massive data sets is transforming the way we think about crisis response, marketing, entertainment, cybersecurity and national intelligence. Collections of documents, images, videos, and networks are being thought of not merely as bit strings to be stored, indexed, and retrieved, but as potential sources of discovery and knowledge, requiring sophisticated analysis techniques that go far beyond classical indexing and keyword counting, aiming to find relational and semantic interpretations of the phenomena underlying the data. Frontiers in Massive Data Analysis examines the frontier of analyzing massive amounts of data, whether in a static database or streaming through a system. Data at that scale-terabytes and petabytes-is increasingly common in science (e.g., particle physics, remote sensing, genomics), Internet commerce, business analytics, national security, communications, and elsewhere. The tools that work to infer knowledge from data at smaller scales do not necessarily work, or work well, at such massive scale. New tools, skills, and approaches are necessary, and this report identifies many of them, plus promising research directions to explore. Frontiers in Massive Data Analysis discusses pitfalls in trying to infer knowledge from massive data, and it characterizes seven major classes of computation that are common in the analysis of massive data. Overall, this report illustrates the cross-disciplinary knowledge-from computer science, statistics, machine learning, and application disciplines-that must be brought to bear to make useful inferences from massive data.

Visual Analytics and Interactive Technologies: Data, Text and Web Mining Applications

Author : Zhang, Qingyu
Publisher : IGI Global
ISBN 13 : 1609601041
Total Pages : 362 pages
Book Rating : 4.6/5 (96 download)

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Book Synopsis Visual Analytics and Interactive Technologies: Data, Text and Web Mining Applications by : Zhang, Qingyu

Download or read book Visual Analytics and Interactive Technologies: Data, Text and Web Mining Applications written by Zhang, Qingyu and published by IGI Global. This book was released on 2010-10-31 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book is a comprehensive reference on concepts, algorithms, theories, applications, software, and visualization of data mining, text mining, Web mining and computing/supercomputing, covering state-of-the-art of the theory and applications of mining"--

Think Bigger

Author : Mark Van Rijmenam
Publisher : AMACOM
ISBN 13 : 0814434169
Total Pages : 317 pages
Book Rating : 4.8/5 (144 download)

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Book Synopsis Think Bigger by : Mark Van Rijmenam

Download or read book Think Bigger written by Mark Van Rijmenam and published by AMACOM. This book was released on 2014-04-03 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offering real-world insight and explanations, this book provides a roadmap for organizations looking to develop a profitable big data strategy and reveals why it's not something they can leave to the I.T. department. Big data--the enormous amount of data that is created as virtually every movement, transaction, and choice we make becomes digitized--is revolutionizing business. Sharing best practices from companies that have implemented a big data strategy including Walmart, InterContinental Hotel Group, Walt Disney, and Shell, this helpful resource covers the most important big data trends affecting organizations, as well as key technologies like Hadoop and MapReduce, and several crucial types of analyses. In Think Bigger, you will find guidance on topics such as: how to ensure security, respecting the privacy rights of consumers, and how big data is impacting specific industries--and where opportunities can be found. Big data is changing the way businesses--and even governments--are operated and managed. Think Bigger is an essential resource for anyone who wants to ensure that their company isn't left in the dust.