Data Mining PDF Download

Author: Richard J. Roiger
Publisher: CRC Press
ISBN: 1498763987
Category : Business & Economics
Languages : en
Pages : 530

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Book Description
Provides in-depth coverage of basic and advanced topics in data mining and knowledge discovery Presents the most popular data mining algorithms in an easy to follow format Includes instructional tutorials on applying the various data mining algorithms Provides several interesting datasets ready to be mined Offers in-depth coverage of RapidMiner Studio and Weka’s Explorer interface Teaches the reader (student,) hands-on, about data mining using RapidMiner Studio and Weka Gives instructors a wealth of helpful resources, including all RapidMiner processes used for the tutorials and for solving the end of chapter exercises. Instructors will be able to get off the starting block with minimal effort Extra resources include screenshot sequences for all RapidMiner and Weka tutorials and demonstrations, available for students and instructors alike The latest version of all freely available materials can also be downloaded at: http://krypton.mnsu.edu/~sa7379bt/

Author: Cornelius T. Leondes
Publisher: Elsevier
ISBN: 0080535283
Category : Computers
Languages : en
Pages : 1554

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Book Description
The design of knowledge systems is finding myriad applications from corporate databases to general decision support in areas as diverse as engineering, manufacturing and other industrial processes, medicine, business, and economics. In engineering, for example, knowledge bases can be utilized for reliable electric power system operation. In medicine they support complex diagnoses, while in business they inform the process of strategic planning. Programmed securities trading and the defeat of chess champion Kasparov by IBM's Big Blue are two familiar examples of dedicated knowledge bases in combination with an expert system for decision-making.With volumes covering "Implementation," "Optimization," "Computer Techniques," and "Systems and Applications," this comprehensive set constitutes a unique reference source for students, practitioners, and researchers in computer science, engineering, and the broad range of applications areas for knowledge-based systems.

Author: Kyle Banerjee
Publisher: American Library Association
ISBN: 083891635X
Category : Language Arts & Disciplines
Languages : en
Pages : 265

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Book Description
Whether you’re embarking on the challenge of building a digital collection from scratch, or simply need to understand the conceptual and technical challenges of constructing a digital library, this top-to-bottom resource is the ideal guidebook to keep at your side, especially in this thoroughly updated and reworked edition. Demonstrating how resources are created, distributed, and accessed, and how librarians can keep up with the latest technologies for successfully completing these tasks, its chapters walk you step-by-step through every stage. Demystifying core technologies and workflows, this book comprehensively covers needs assessment and planning for a digital repository;choosing a platform;acquiring, processing, classifying, and describing digital content;storing and managing resources in a digital repository;digital preservation;technologies and standards useful to digital repositories, including XML, the Portland Common Data Model, metadata schema such as Dublin Core, scripting using JSON and REST, linked open data, and automated metadata assignment;sharing data and metadata;understanding information-access issues, including digital rights management; andanalyzing repository use, planning for the future, migrating to new platforms, and accommodating new types of data. This book will thoroughly orient LIS students and others new to the world of digital libraries, and also ensure that current professionals have the knowledge and guidance necessary to construct a digital repository from its inception.

Author: Wang, John
Publisher: IGI Global
ISBN: 1605660116
Category : Computers
Languages : en
Pages : 2542

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Book Description
There are more than one billion documents on the Web, with the count continually rising at a pace of over one million new documents per day. As information increases, the motivation and interest in data warehousing and mining research and practice remains high in organizational interest. The Encyclopedia of Data Warehousing and Mining, Second Edition, offers thorough exposure to the issues of importance in the rapidly changing field of data warehousing and mining. This essential reference source informs decision makers, problem solvers, and data mining specialists in business, academia, government, and other settings with over 300 entries on theories, methodologies, functionalities, and applications.

Author: John S. Spencer
Publisher: Routledge
ISBN: 1134909535
Category : Language Arts & Disciplines
Languages : en
Pages : 293

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Book Description
Discovery tools are now becoming more common in the academic library landscape, and more products are now available from vendors. While librarians are advocating and promoting their use by students and faculty, they are also evaluating their searching capabilities, their usefulness, and on-going maintenance requirements. This work is geared to librarians considering the implementation of a discovery tool. As a result, it addresses the selection and implementation of such a tool, its relationship to information literacy and catalog maintenance, usability testing, and assessment. Issues such as database and catalog searching and the quality of searching queries are also addressed. A comprehensive review of the literature serves as a valuable resource. Librarians will appreciate the highly practical nature of the volume as it is enriched by a number of varied case studies. This book was published as a special triple issue of College & Undergraduate Libraries.

Author: Marco Pellegrini
Publisher: Frontiers Media SA
ISBN: 288963650X
Category :
Languages : en
Pages : 270

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Book Description
Network science has accelerated a deep and successful trend in research that influences a range of disciplines like mathematics, graph theory, physics, statistics, data science and computer science (just to name a few) and adapts the relevant techniques and insights to address relevant but disparate social, biological, technological questions. We are now in an era of 'big biological data' supported by cost-effective high-throughput genomic, transcriptomic, proteomic, metabolomic data collection techniques that allow one to take snapshots of the cells' molecular profiles in a systematic fashion. Moreover recently, also phenotypic data, data on diseases, symptoms, patients, etc. are being collected at nation-wide level thus giving us another source of highly related (causal) 'big data'. This wealth of data is usually modeled as networks (aka binary relations, graphs or webs) of interactions, (including protein-protein, metabolic, signaling and transcription-regulatory interactions). The network model is a key view point leading to the uncovering of mesoscale phenomena, thus providing an essential bridge between the observable phenotypes and 'omics' underlying mechanisms. Moreover, network analysis is a powerful 'hypothesis generation' tool guiding the scientific cycle of 'data gathering', 'data interpretation, 'hypothesis generation' and 'hypothesis testing'. A major challenge in contemporary research is the synthesis of deep insights coming from network science with the wealth of data (often noisy, contradictory, incomplete and difficult to replicate) so to answer meaningful biological questions, in a quantifiable way using static and dynamic properties of biological networks.

Author: Mashrur Chowdhury
Publisher: Elsevier
ISBN: 0443138796
Category : Computers
Languages : en
Pages : 572

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Book Description
Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems (ITS), including the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. It presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies. All fundamentals/concepts presented in this book are explained in the context of ITS. Users will learn everything from the basics of different ITS data types and characteristics to how to evaluate alternative data analytics for different ITS applications. They will discover how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. Data Analytics for Intelligent Transportation Systems will prepare an educated ITS workforce and tool builders to make the vision for safe, reliable, and environmentally sustainable intelligent transportation systems a reality. It serves as a primary or supplemental textbook for upper-level undergraduate and graduate ITS courses and a valuable reference for ITS practitioners. - Utilizes real ITS examples to facilitate a quicker grasp of materials presented - Contains contributors from both leading academic and commercial domains - Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications - Includes exercise problems in each chapter to help readers apply and master the learned fundamentals, concepts, and techniques - New to the second edition: Two new chapters on Quantum Computing in Data Analytics and Society and Environment in ITS Data Analytics

Author: Schwartz, David
Publisher: IGI Global
ISBN: 1599049325
Category : Computers
Languages : en
Pages : 1652

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Book Description
Knowledge Management has evolved into one of the most important streams of management research, affecting organizations of all types at many different levels. The Encyclopedia of Knowledge Management, Second Edition provides a compendium of terms, definitions and explanations of concepts, processes and acronyms addressing the challenges of knowledge management. This two-volume collection covers all aspects of this critical discipline, which range from knowledge identification and representation, to the impact of Knowledge Management Systems on organizational culture, to the significant integration and cost issues being faced by Human Resources, MIS/IT, and production departments.

Author: R. Panneerselvam
Publisher: PHI Learning Pvt. Ltd.
ISBN: 8120342771
Category : Computers
Languages : en
Pages : 401

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Book Description
This revised and updated book, now in its Second Edition, continues to provide excellent coverage of the basic concepts involved in database management systems. It provides a thorough treatment of some important topics such as data structure, data models and database design through presentation of well-defined algorithms, examples and real-life cases. There is also detailed coverage of data definition and data manipulation parts of IMS and PC-FOCUS—the two popular database management systems—to access and manipulate hierarchical database, besides IDMS (Network) and Interactive SQL (Relational) database languages, using suitable programs based on case studies. WHAT IS NEW TO THIS EDITION : Includes five new chapters, namely, Distributed Database Management System, Client/Server Systems, Data Warehousing, Data Mining, and Object Oriented Database Management System (OODBMS) to cover the modern concepts of DBMS. Provides a new section on cryptography for network security. The textbook is primarily designed for the postgraduate students of management, computer science and information technology. It should also serve as a useful text for B.E./B.Tech. students in computer science engineering and software engineering. Besides students, this book will also be useful for computer professionals engaged in design, operation and maintenance of database.

Author: Harvey J. Miller
Publisher: CRC Press
ISBN:
Category : Business & Economics
Languages : en
Pages : 408

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Book Description
Advances in automated data collection are creating massive databases and a whole new field, Knowledge Discovery Databases (KDD), has emerged to develop new methods of managing and exploiting them. Geographic Data Mining and Knowledge Discovery is the interrogation of large databases using efficient computational methods. The unique challenges brought about by the storing of massive geographical databases - from high resolution satellite-based systems to data from intelligent transportation systems, for example - has led to the field of Geographical Knowledge Discovery (GKD). Geographic or spatial data mining is the exploration of these geographical information databases. Developed out of contributions to the highly-respected Varenius Project in 1999, this collection will be the definitive volume focusing on GKD and addresses the special challenges to be found in knowledge discovery and data mining from geographic databases.