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Knowledge discovery and data mining : challenges and realities by Zhu, Xingquan, 1973-; Davidson, Ian, 1971- instant download

  • SKU: EBN-238452288
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Instant download (eBook) Knowledge discovery and data mining : challenges and realities after payment.
Authors:Zhu, Xingquan, 1973-; Davidson, Ian, 1971-
Pages:updating ...
Year:2007
Publisher:Hershey : Information Science Reference
Language:english
File Size:18.93 MB
Format:pdf
Categories: Ebooks

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Knowledge discovery and data mining : challenges and realities by Zhu, Xingquan, 1973-; Davidson, Ian, 1971- instant download

xv, 274 pages : 29 cm, \"This book provides a focal point for research and real-world data mining practitioners that advance knowledge discovery from low-quality data; it presents in-depth experiences and methodologies, providing theoretical and empirical guidance to users who have suffered from underlying low-quality data. Contributions also focus on interdisciplinary collaborations among data quality, data processing, data mining, data privacy, and data sharing\"--Provided by publisher, \"Premier reference source\"--Cover, Includes bibliographical references and index, Software quality modeling with limited apriori defect data / Naeem Seliya and Taghi M. Khoshgoftaar -- Genome-wide analysis of Epistasis using multifactor dimensionality reduction / Jason H. Moore -- Mining clinical trial data / Jose Ma. J. Alvir [and others] -- Cross-modal correlation mining using graph algorithms / Jia-Yu Pan [and others] -- Image mining for the construction of semantic-inference rules and for the development of automatic image diagnosis sytems / Petra Perner -- A successive descision tree approach to mining remotely sensed image data / Jianting Zhang, Wieguo Liu, and Le Gruenwald -- The business impact of predictive analytics / Tilmann Bruckhaus -- Beyond classification / Anna Olecka -- Semantics enhancing knowledge discovery and ontology engineering using mining techniques / Elena Irina Neaga -- Knowledge discovery in biomedical data facilitated by Domain ontologies / Amandeep S. Sidhu [and others] -- Effective intelligent data mining using dempster-shafer theorty / Malcolm J. Beynon -- Outlier detection strategy using the self-organizing map / Fedja hadzic, Tharam S. Dillon, and Henry Tan -- Re-sampling based data mining using rough set theory / Benjamin Griffiths and Malcolm J. Beynon
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