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Making obscure knowledge about matrix decompositions widely available, Understanding Complex Datasets: Data Mining with Matrix Decompositions discusse...Savoir plus
Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities. ...Savoir plus
Like a data-guzzling turbo engine, advanced data mining has been powering post-genome biological studies for two decades. Reflecting this growth, Biol...Savoir plus
Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and ...Savoir plus
The Definitive Resource on Text Mining Theory and Applications from Foremost Researchers in the Field Giving a broad perspective of the field from num...Savoir plus
Focused on the mathematical foundations of social media analysis, Graph-Based Social Media Analysis provides a comprehensive introduction to the use o...Savoir plus
This class-tested textbook is designed for a semester-long graduate or senior undergraduate course on Computational Health Informatics. The focus of t...Savoir plus
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...Savoir plus
Assuming no prior knowledge of mathematics or data mining, this self-contained book presents a "do-it-yourself" approach to extracting interesting pat...Savoir plus
Spectral Feature Selection for Data Mining introduces a novel feature selection technique that establishes a general platform for studying existing fe...Savoir plus
Human Capital Systems, Analytics, and Data Mining provides human capital professionals, researchers, and students with a comprehensive and portable gu...Savoir plus
Event mining encompasses techniques for automatically and efficiently extracting valuable knowledge from historical event/log data. The field, therefo...Savoir plus
Learn How to Properly Use the Latest Analytics Approaches in Your Organization Computational Business Analytics presents tools and techniques for desc...Savoir plus
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...Savoir plus
At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-rel...Savoir plus
The Definitive Volume on Cutting-Edge Exploratory Analysis of Massive Spatial and Spatiotemporal Databases Since the publication of the first edition ...Savoir plus
Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions presents an accessible treatment of the two main components of support ...Savoir plus
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...Savoir plus
Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA) and introduces the range of "interesting...Savoir plus
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 ...Savoir plus
Data Mining: A Tutorial-Based Primer, Second Edition provides a comprehensive introduction to data mining with a focus on model building and testing, ...Savoir plus
Going beyond performing simple analyses, researchers involved in the highly dynamic field of computational intelligent data analysis design algorithms...Savoir plus
Unstructured Mining Approaches to Solve Complex Scientific Problems As the volume of scientific data and literature increases exponentially, scientist...Savoir plus
Since the initial work on constrained clustering, there have been numerous advances in methods, applications, and our understanding of the theoretical...Savoir plus