Data Mining: Theory, Methodology, Techniques, and Applications (Lecture Notes in Computer Science)

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Data Mining: Theory, Methodology, Techniques, and Applications (Lecture Notes in Computer Science) ISBN  3540325476 Release Date  03 April 2006 Category  Data Mining Tags  mining,   "data mining",   3540325476,   data mining,   data mining: concept and techniques,   text mining,   methodology,   data mining concepts and techniques,   theory,   lecture notes,   data warehousing,   547,   berry, m., j., a., & linoff, g., s., (2000). mastering data mining,   data mining:concepts and techniques,   data minining,   game theory,   web mining,   data mining and data warehousin,   data streams algorithms and applications,   data and mining,   data mining: concepts and techniques,   data modelling,   science,   data mining: concepts and techniques, 2nd ed,   data warehouse,   This book @Amazon  View Tools Google Search Web flazx.com

Description Data mining has been an area of considerable research and application in Australia and the region for many years. This has resulted in the establishment of a strong tradition of academic and industry scholarship, blended with the pragmatics of practice in the field of data mining and analytics. ID3, See5, RuleQuest.com, MagnumOpus, and WEKA is but a short list of the data mining tools and technologies that have been developed in Australasia. Data mining conferences held in Australia have attracted considerable international interest and involvement. This book brings together a unique collection of chapters that cover the breadth and depth of data mining today. This volume provides a snapshot of the current state of the art in data mining, presenting it both in terms of technical developments and industry applications. Authors include some of Australia’s leading researchers and practitioners in data mining, together with chapters from regional and international authors. The collection of chapters is based on works presented at the Australasian Data Mining conference series and industry forums. The original papers were initially reviewed for the workshops, conferences and forums. Presenting authors were provided with substantial feedback, both through this initial review process and through editorial feedback from their presentations. A final international peer review process was conducted to include input from potential users of the research, and in particular analytics experts from industry, looking at the impact of reviewed works. Other books on Data Mining Privacy-Preserving Data Mining: Models and Algorithms (Advances in Database Systems) Fuzzy Modeling Tools for Data Mining and Knowledge Discovery (The Morgan Kaufmann Series in Data Management Systems) Advanced Data Mining Techniques Data Mining and Knowledge Discovery Technologies (Advances in Data Warehousing and Mining) Mobility, Data Mining and Privacy: Geographic Knowledge Discovery Survey of Text Mining II: Clustering, Classification, and Retrieval Emerging Technologies of Text Mining: Techniques and Applications Data Mining Patterns: New Methods and Applications Data Mining With Ontologies: Implementations, Findings and Frameworks (Premier Reference) Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage Principles of Data Mining (Undergraduate Topics in Computer Science) Intelligent Data Mining: Techniques and Applications (Studies in Computational Intelligence) Research And Trends in Data Mining Technologies And Applications (Advances in Data Warehousing and Mining Series) (Advances in Data Warehousing and Mining ... in Data Warehousing and Mining Series) Quality Measures in Data Mining (Studies in Computational Intelligence) Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-Centric Systems and Applications)