Improving Knowledge Discovery Through The Integration Of Data Mining Techniques

Author : Usman, Muhammad
Publisher : IGI Global
ISBN 13 : 146668514X
Total Pages : 392 pages
Book Rating : 4.47/5 ( download)

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Download or read book Improving Knowledge Discovery through the Integration of Data Mining Techniques written by Usman, Muhammad and published by IGI Global. This book was released on 2015-08-03 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data warehousing is an important topic that is of interest to both the industry and the knowledge engineering research communities. Both data mining and data warehousing technologies have similar objectives and can potentially benefit from each other’s methods to facilitate knowledge discovery. Improving Knowledge Discovery through the Integration of Data Mining Techniques provides insight concerning the integration of data mining and data warehousing for enhancing the knowledge discovery process. Decision makers, academicians, researchers, advanced-level students, technology developers, and business intelligence professionals will find this book useful in furthering their research exposure to relevant topics in knowledge discovery.

Author :
Publisher :
ISBN 13 : 9781466685154
Total Pages : 0 pages
Book Rating : 4.58/5 ( download)

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Download or read book Improving Knowledge Discovery Through the Integration of Data Mining Techniques written by and published by . This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book provides insight concerning the integration of data mining and data warehousing for enhancing the knowledge discovery process"--

Author : Azevedo, Ana
Publisher : IGI Global
ISBN 13 : 1466664789
Total Pages : 340 pages
Book Rating : 4.84/5 ( download)

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Download or read book Integration of Data Mining in Business Intelligence Systems written by Azevedo, Ana and published by IGI Global. This book was released on 2014-09-30 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncovering and analyzing data associated with the current business environment is essential in maintaining a competitive edge. As such, making informed decisions based on this data is crucial to managers across industries. Integration of Data Mining in Business Intelligence Systems investigates the incorporation of data mining into business technologies used in the decision making process. Emphasizing cutting-edge research and relevant concepts in data discovery and analysis, this book is a comprehensive reference source for policymakers, academicians, researchers, students, technology developers, and professionals interested in the application of data mining techniques and practices in business information systems.

Author : Malcolm Atkinson
Publisher : John Wiley & Sons
ISBN 13 : 1118540301
Total Pages : 423 pages
Book Rating : 4.05/5 ( download)

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Download or read book The Data Bonanza written by Malcolm Atkinson and published by John Wiley & Sons. This book was released on 2013-03-19 with total page 423 pages. Available in PDF, EPUB and Kindle. Book excerpt: Complete guidance for mastering the tools and techniques of the digital revolution With the digital revolution opening up tremendous opportunities in many fields, there is a growing need for skilled professionals who can develop data-intensive systems and extract information and knowledge from them. This book frames for the first time a new systematic approach for tackling the challenges of data-intensive computing, providing decision makers and technical experts alike with practical tools for dealing with our exploding data collections. Emphasizing data-intensive thinking and interdisciplinary collaboration, The Data Bonanza: Improving Knowledge Discovery in Science, Engineering, and Business examines the essential components of knowledge discovery, surveys many of the current research efforts worldwide, and points to new areas for innovation. Complete with a wealth of examples and DISPEL-based methods demonstrating how to gain more from data in real-world systems, the book: Outlines the concepts and rationale for implementing data-intensive computing in organizations Covers from the ground up problem-solving strategies for data analysis in a data-rich world Introduces techniques for data-intensive engineering using the Data-Intensive Systems Process Engineering Language DISPEL Features in-depth case studies in customer relations, environmental hazards, seismology, and more Showcases successful applications in areas ranging from astronomy and the humanities to transport engineering Includes sample program snippets throughout the text as well as additional materials on a companion website The Data Bonanza is a must-have guide for information strategists, data analysts, and engineers in business, research, and government, and for anyone wishing to be on the cutting edge of data mining, machine learning, databases, distributed systems, or large-scale computing.

Author : Andreas Holzinger
Publisher : Springer
ISBN 13 : 3662439689
Total Pages : 357 pages
Book Rating : 4.85/5 ( download)

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Download or read book Interactive Knowledge Discovery and Data Mining in Biomedical Informatics written by Andreas Holzinger and published by Springer. This book was released on 2014-06-17 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the grand challenges in our digital world are the large, complex and often weakly structured data sets, and massive amounts of unstructured information. This “big data” challenge is most evident in biomedical informatics: the trend towards precision medicine has resulted in an explosion in the amount of generated biomedical data sets. Despite the fact that human experts are very good at pattern recognition in dimensions of = 3; most of the data is high-dimensional, which makes manual analysis often impossible and neither the medical doctor nor the biomedical researcher can memorize all these facts. A synergistic combination of methodologies and approaches of two fields offer ideal conditions towards unraveling these problems: Human–Computer Interaction (HCI) and Knowledge Discovery/Data Mining (KDD), with the goal of supporting human capabilities with machine learning./ppThis state-of-the-art survey is an output of the HCI-KDD expert network and features 19 carefully selected and reviewed papers related to seven hot and promising research areas: Area 1: Data Integration, Data Pre-processing and Data Mapping; Area 2: Data Mining Algorithms; Area 3: Graph-based Data Mining; Area 4: Entropy-Based Data Mining; Area 5: Topological Data Mining; Area 6 Data Visualization and Area 7: Privacy, Data Protection, Safety and Security.

Author : Nigro, Hector Oscar
Publisher : IGI Global
ISBN 13 : 1599046202
Total Pages : 312 pages
Book Rating : 4.04/5 ( download)

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Download or read book Data Mining with Ontologies: Implementations, Findings, and Frameworks written by Nigro, Hector Oscar and published by IGI Global. This book was released on 2007-07-31 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Prior knowledge in data mining is helpful for selecting suitable data and mining techniques, pruning the space of hypothesis, representing the output in a comprehensible way, and improving the overall method. This book examines methodologies and research for the development of ontological foundations for data mining to enhance the ability of ontology utilization and design"--Provided by publisher.

Author : Kumar, A.V. Senthil
Publisher : IGI Global
ISBN 13 : 160960069X
Total Pages : 414 pages
Book Rating : 4.93/5 ( download)

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Download or read book Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains written by Kumar, A.V. Senthil and published by IGI Global. This book was released on 2010-08-31 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains introduces the reader to recent research activities in the field of data mining. This book covers association mining, classification, mobile marketing, opinion mining, microarray data mining, internet mining and applications of data mining on biological data, telecommunication and distributed databases, among others, while promoting understanding and implementation of data mining techniques in emerging domains.

Author : Honghua Tan
Publisher : Springer Science & Business Media
ISBN 13 : 364227708X
Total Pages : 798 pages
Book Rating : 4.85/5 ( download)

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Download or read book Knowledge Discovery and Data Mining written by Honghua Tan and published by Springer Science & Business Media. This book was released on 2012-02-04 with total page 798 pages. Available in PDF, EPUB and Kindle. Book excerpt: The volume includes a set of selected papers extended and revised from the 4th International conference on Knowledge Discovery and Data Mining, March 1-2, 2011, Macau, Chin. This Volume is to provide a forum for researchers, educators, engineers, and government officials involved in the general areas of knowledge discovery and data mining and learning to disseminate their latest research results and exchange views on the future research directions of these fields. 108 high-quality papers are included in the volume.

Author : Wesley W. Chu
Publisher : Springer Science & Business Media
ISBN 13 : 3642408370
Total Pages : 314 pages
Book Rating : 4.73/5 ( download)

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Download or read book Data Mining and Knowledge Discovery for Big Data written by Wesley W. Chu and published by Springer Science & Business Media. This book was released on 2013-09-24 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of data mining has made significant and far-reaching advances over the past three decades. Because of its potential power for solving complex problems, data mining has been successfully applied to diverse areas such as business, engineering, social media, and biological science. Many of these applications search for patterns in complex structural information. In biomedicine for example, modeling complex biological systems requires linking knowledge across many levels of science, from genes to disease. Further, the data characteristics of the problems have also grown from static to dynamic and spatiotemporal, complete to incomplete, and centralized to distributed, and grow in their scope and size (this is known as big data). The effective integration of big data for decision-making also requires privacy preservation. The contributions to this monograph summarize the advances of data mining in the respective fields. This volume consists of nine chapters that address subjects ranging from mining data from opinion, spatiotemporal databases, discriminative subgraph patterns, path knowledge discovery, social media, and privacy issues to the subject of computation reduction via binary matrix factorization.

Author : Petra Perner
Publisher : Springer Science & Business Media
ISBN 13 : 3642143997
Total Pages : 667 pages
Book Rating : 4.91/5 ( download)

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Download or read book Advances in Data Mining: Applications and Theoretical Aspects written by Petra Perner and published by Springer Science & Business Media. This book was released on 2010-07-05 with total page 667 pages. Available in PDF, EPUB and Kindle. Book excerpt: These are the proceedings of the tenth event of the Industrial Conference on Data Mining ICDM held in Berlin (www.data-mining-forum.de). For this edition the Program Committee received 175 submissions. After the pe- review process, we accepted 49 high-quality papers for oral presentation that are included in this book. The topics range from theoretical aspects of data mining to app- cations of data mining such as on multimedia data, in marketing, finance and telec- munication, in medicine and agriculture, and in process control, industry and society. Extended versions of selected papers will appear in the international journal Trans- tions on Machine Learning and Data Mining (www.ibai-publishing.org/journal/mldm). Ten papers were selected for poster presentations and are published in the ICDM Poster Proceeding Volume by ibai-publishing (www.ibai-publishing.org). In conjunction with ICDM four workshops were held on special hot applicati- oriented topics in data mining: Data Mining in Marketing DMM, Data Mining in LifeScience DMLS, the Workshop on Case-Based Reasoning for Multimedia Data CBR-MD, and the Workshop on Data Mining in Agriculture DMA. The Workshop on Data Mining in Agriculture ran for the first time this year. All workshop papers will be published in the workshop proceedings by ibai-publishing (www.ibai-publishing.org). Selected papers of CBR-MD will be published in a special issue of the international journal Transactions on Case-Based Reasoning (www.ibai-publishing.org/journal/cbr).