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Making obscure knowledge about matrix decompositions widely available, Understanding Complex Datasets: Data Mining with Matrix Decompositions discusse...Lees meer
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Gaining access to high-quality data is a vital necessity in knowledge-based decision making. But data in its raw form often contains sensitive informa...Lees meer
Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing fe...Lees meer
Discover Novel and Insightful Knowledge from Data Represented as a Graph Practical Graph Mining with R presents a "do-it-yourself" approach to extract...Lees meer
Human Capital Systems, Analytics, and Data Mining provides human capital professionals, researchers, and students with a comprehensive and portable gu...Lees meer
Event mining encompasses techniques for automatically and efficiently extracting valuable knowledge from historical event/log data. The field, therefo...Lees meer
Learn How to Properly Use the Latest Analytics Approaches in Your Organization Computational Business Analytics presents tools and techniques for desc...Lees meer
At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-rel...Lees meer
Data Mining for Design and Marketing shows how to design and integrate data mining tools into human thinking processes in order to make better busines...Lees meer
Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining. Providing an exte...Lees meer
Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions presents an accessible treatment of the two main components of support ...Lees meer
The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and Spatiotemporal Databases Since the publication of the first edition ...Lees meer
Data Mining: A Tutorial-Based Primer, Second Edition provides a comprehensive introduction to data mining with a focus on model building and testing, ...Lees meer
Data clustering is a highly interdisciplinary field, the goal of which is to divide a set of objects into homogeneous groups such that objects in the ...Lees meer
Human Capital Systems, Analytics, and Data Mining provides human capital professionals, researchers, and students with a comprehensive and portable gu...Lees meer
Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms...Lees meer
Since the initial work on constrained clustering, there have been numerous advances in methods, applications, and our understanding of the theoretical...Lees meer
An emerging topic in software engineering and data mining, specification mining tackles software maintenance and reliability issues that cost economie...Lees meer