Managing And Mining Graph Data Advances In Database Systems.php Book PDF, EPUB Download & Read Online Free

Managing and Mining Graph Data
Author: Charu C. Aggarwal, Haixun Wang
Publisher: Springer Science & Business Media
ISBN: 1441960457
Pages: 600
Year: 2010-02-02
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Managing and Mining Graph Data is a comprehensive survey book in graph management and mining. It contains extensive surveys on a variety of important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific scenarios such as stream mining, web graphs, social networks, chemical and biological data. The chapters are written by well known researchers in the field, and provide a broad perspective of the area. This is the first comprehensive survey book in the emerging topic of graph data processing. Managing and Mining Graph Data is designed for a varied audience composed of professors, researchers and practitioners in industry. This volume is also suitable as a reference book for advanced-level database students in computer science and engineering.
Nonlinear Dimensionality Reduction
Author: John A. Lee, Michel Verleysen
Publisher: Springer Science & Business Media
ISBN: 038739351X
Pages: 309
Year: 2007-10-31
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This book describes established and advanced methods for reducing the dimensionality of numerical databases. Each description starts from intuitive ideas, develops the necessary mathematical details, and ends by outlining the algorithmic implementation. The text provides a lucid summary of facts and concepts relating to well-known methods as well as recent developments in nonlinear dimensionality reduction. Methods are all described from a unifying point of view, which helps to highlight their respective strengths and shortcomings. The presentation will appeal to statisticians, computer scientists and data analysts, and other practitioners having a basic background in statistics or computational learning.
Mining of Massive Datasets
Author: Jure Leskovec, Anand Rajaraman, Jeffrey David Ullman
Publisher: Cambridge University Press
ISBN: 1107077230
Pages: 476
Year: 2014-11-13
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Now in its second edition, this book focuses on practical algorithms for mining data from even the largest datasets.
Encyclopedia of Data Warehousing and Mining
Author: John Wang
Publisher: IGI Global
ISBN: 1591405572
Pages: 1248
Year: 2006
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- Numerous contributions from international scholars providing comprehensive coverage of theory and concepts of DMW - Examples of best practices and case studies in data mining and warehousing - A renowned, extremely knowledgeable, and demanding editorial advisory board - A compendium of terms, definitions and explanations of concepts, processes and acronyms provided by international experts - Organized by titles and indexed by authors and topics, making it a convenient method of reference for readers - Cross referencing of key terms, figures and information related to DMW - With the purchase of a print copy, your library will have access to the electronic edition of this encyclopedia, free of charge for the life of the edition.
Practical Data Mining
Author: Monte F. Hancock, Jr.
Publisher: CRC Press
ISBN: 1439868379
Pages: 304
Year: 2011-12-19
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Used by corporations, industry, and government to inform and fuel everything from focused advertising to homeland security, data mining can be a very useful tool across a wide range of applications. Unfortunately, most books on the subject are designed for the computer scientist and statistical illuminati and leave the reader largely adrift in technical waters. Revealing the lessons known to the seasoned expert, yet rarely written down for the uninitiated, Practical Data Mining explains the ins-and-outs of the detection, characterization, and exploitation of actionable patterns in data. This working field manual outlines the what, when, why, and how of data mining and offers an easy-to-follow, six-step spiral process. Catering to IT consultants, professional data analysts, and sophisticated data owners, this systematic, yet informal treatment will help readers answer questions, such as: What process model should I use to plan and execute a data mining project? How is a quantitative business case developed and assessed? What are the skills needed for different data mining projects? How do I track and evaluate data mining projects? How do I choose the best data mining techniques? Helping you avoid common mistakes, the book describes specific genres of data mining practice. Most chapters contain one or more case studies with detailed projects descriptions, methods used, challenges encountered, and results obtained. The book includes working checklists for each phase of the data mining process. Your passport to successful technical and planning discussions with management, senior scientists, and customers, these checklists lay out the right questions to ask and the right points to make from an insider’s point of view. Visit the book’s webpage for access to additional resources—including checklists, figures, PowerPoint slides, and a small set of simple prototype data mining tools.
Practical Graph Mining with R
Author: Nagiza F. Samatova, William Hendrix, John Jenkins, Kanchana Padmanabhan, Arpan Chakraborty
Publisher: CRC Press
ISBN: 1439860858
Pages: 495
Year: 2013-07-15
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Discover Novel and Insightful Knowledge from Data Represented as a Graph Practical Graph Mining with R presents a "do-it-yourself" approach to extracting interesting patterns from graph data. It covers many basic and advanced techniques for the identification of anomalous or frequently recurring patterns in a graph, the discovery of groups or clusters of nodes that share common patterns of attributes and relationships, the extraction of patterns that distinguish one category of graphs from another, and the use of those patterns to predict the category of new graphs. Hands-On Application of Graph Data Mining Each chapter in the book focuses on a graph mining task, such as link analysis, cluster analysis, and classification. Through applications using real data sets, the book demonstrates how computational techniques can help solve real-world problems. The applications covered include network intrusion detection, tumor cell diagnostics, face recognition, predictive toxicology, mining metabolic and protein-protein interaction networks, and community detection in social networks. Develops Intuition through Easy-to-Follow Examples and Rigorous Mathematical Foundations Every algorithm and example is accompanied with R code. This allows readers to see how the algorithmic techniques correspond to the process of graph data analysis and to use the graph mining techniques in practice. The text also gives a rigorous, formal explanation of the underlying mathematics of each technique. Makes Graph Mining Accessible to Various Levels of Expertise Assuming no prior knowledge of mathematics or data mining, this self-contained book is accessible to students, researchers, and practitioners of graph data mining. It is suitable as a primary textbook for graph mining or as a supplement to a standard data mining course. It can also be used as a reference for researchers in computer, information, and computational science as well as a handy guide for data analytics practitioners.
Mining Graph Data
Author: Diane J. Cook, Lawrence B. Holder
Publisher: John Wiley & Sons
ISBN: 0470073039
Pages: 434
Year: 2006-12-18
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This text takes a focused and comprehensive look at mining data represented as a graph, with the latest findings and applications in both theory and practice provided. Even if you have minimal background in analyzing graph data, with this book you’ll be able to represent data as graphs, extract patterns and concepts from the data, and apply the methodologies presented in the text to real datasets. There is a misprint with the link to the accompanying Web page for this book. For those readers who would like to experiment with the techniques found in this book or test their own ideas on graph data, the Web page for the book should be
Trends and Advances in Information Systems and Technologies
Author: Álvaro Rocha, Hojjat Adeli, Luís Paulo Reis, Sandra Costanzo
Publisher: Springer
ISBN: 3319777122
Pages: 1518
Year: 2018-03-24
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This book includes a selection of papers from the 2018 World Conference on Information Systems and Technologies (WorldCIST'18), held in Naples, Italy on March27-29, 2018. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and the challenges of modern information systems and technologies research together with their technological development and applications. The main topics covered are: A) Information and Knowledge Management; B) Organizational Models and Information Systems; C) Software and Systems Modeling; D) Software Systems, Architectures, Applications and Tools; E) Multimedia Systems and Applications; F) Computer Networks, Mobility and Pervasive Systems; G) Intelligent and Decision Support Systems; H) Big Data Analytics and Applications; I) Human–Computer Interaction; J) Ethics, Computers & Security; K) Health Informatics; L) Information Technologies in Education; M) Information Technologies in Radiocommunications; N) Technologies for Biomedical Applications.
Programming PHP
Author: Kevin Tatroe, Peter MacIntyre, Rasmus Lerdorf
Publisher: "O'Reilly Media, Inc."
ISBN: 1449365841
Pages: 540
Year: 2013-02-07
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This updated edition teaches everything you need to know to create effective web applications with the latest features in PHP 5.x. You’ll start with the big picture and then dive into language syntax, programming techniques, and other details, using examples that illustrate both correct usage and common idioms. If you have a working knowledge of HTML, the authors’ many style tips and practical programming advice will help you become a top-notch PHP programmer. Get an overview of what’s possible with PHP programs Learn language fundamentals, including data types, variables, operators, and flow control statements Understand functions, strings, arrays, and objects Apply common web application techniques, such as form processing, data validation, session tracking, and cookies Interact with relational databases like MySQL or NoSQL databases such as MongoDB Generate dynamic images, create PDF files, and parse XML files Learn secure scripts, error handling, performance tuning, and other advanced topics Get a quick reference to PHP core functions and standard extensions
Social Network Data Analytics
Author: Charu C. Aggarwal
Publisher: Springer Science & Business Media
ISBN: 1441984623
Pages: 502
Year: 2011-03-18
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Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of purposes. Social Network Data Analytics covers an important niche in the social network analytics field. This edited volume, contributed by prominent researchers in this field, presents a wide selection of topics on social network data mining such as Structural Properties of Social Networks, Algorithms for Structural Discovery of Social Networks and Content Analysis in Social Networks. This book is also unique in focussing on the data analytical aspects of social networks in the internet scenario, rather than the traditional sociology-driven emphasis prevalent in the existing books, which do not focus on the unique data-intensive characteristics of online social networks. Emphasis is placed on simplifying the content so that students and practitioners benefit from this book. This book targets advanced level students and researchers concentrating on computer science as a secondary text or reference book. Data mining, database, information security, electronic commerce and machine learning professionals will find this book a valuable asset, as well as primary associations such as ACM, IEEE and Management Science.
Advances in Computers
Author: Marvin Zelkowitz
Publisher: Academic Press
ISBN: 0123810280
Pages: 348
Year: 2010-03-13
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This is volume 79 of Advances in Computers. This series, which began publication in 1960, is the oldest continuously published anthology that chronicles the ever- changing information technology field. In these volumes we publish from 5 to 7 chapters, three times per year, that cover the latest changes to the design, development, use and implications of computer technology on society today. Covers the full breadth of innovations in hardware, software, theory, design, and applications. Many of the in-depth reviews have become standard references that continue to be of significant, lasting value in this rapidly expanding field.
MySQL/PHP Database Applications
Author: Jay Greenspan, Brad Bulger
Publisher: Wiley
ISBN: 0764535374
Pages: 648
Year: 2001-01-29
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More businesses and ambitious individuals are trying to bring applications to the Web but they are bewildered with the array of components and concepts needed to create a data-driven site. The cost, stability and ease of development using the Open Source PHP 4 scripting language and a MySQL database makes this combination the best choice for small and mid-size Web-based applications. PHP4/MySQL Database Applications demonstrates web-application development by presenting seven real, ready-to-use examples starting with a simple guess book and ending with a fully-functional e-commerce site with a shopping cart. Inexperienced users will learn the essentials of working with PHP4 and MySQL so they can start building and customizing database applications for the web right away!
Privacy-Preserving Data Mining
Author: Charu C. Aggarwal, Philip S. Yu
Publisher: Springer Science & Business Media
ISBN: 0387709924
Pages: 514
Year: 2008-06-10
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Advances in hardware technology have increased the capability to store and record personal data. This has caused concerns that personal data may be abused. This book proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. This edited volume contains surveys by distinguished researchers in the privacy field. Each survey includes the key research content as well as future research directions of a particular topic in privacy. The book is designed for researchers, professors, and advanced-level students in computer science, but is also suitable for practitioners in industry.
Learning PHP Data Objects
Author: Dennis Popel
Publisher: Packt Publishing Ltd
ISBN: 184719267X
Pages: 177
Year: 2007-08-30
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A Beginner's Guide to PHP Data Objects, Database Connection Abstraction Library for PHP 5
Fundamentals of Database Systems, Global Edition
Author: Ramez Elmasri, Shamkant B. Navathe
ISBN: 1292097612
Pages: 1272
Year: 2016-08-19
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For database systems courses in Computer Science This book introduces the fundamental concepts necessary for designing, using, and implementing database systems and database applications. Our presentation stresses the fundamentals of database modeling and design, the languages and models provided by the database management systems, and database system implementation techniques. The book is meant to be used as a textbook for a one- or two-semester course in database systems at the junior, senior, or graduate level, and as a reference book. The goal is to provide an in-depth and up-to-date presentation of the most important aspects of database systems and applications, and related technologies. It is assumed that readers are familiar with elementary programming and data-structuring concepts and that they have had some exposure to the basics of computer organization.