Course Design Document IS424: Data Mining and Business Analytics
Intelligent and Effective Heart Attack Prediction System Using Data Mining and Artificial Neural Network
Data Mining and Statistics: What's the Connection?
Data Mining And Its Relevance
Data Mining and Business Intelligence Tools
CASE PROJECTS IN DATA WAREHOUSING AND DATA MINING
Machine Learning and Data Mining: 19 Mining Text And Web Data
Data Mining With Excel 2007 And SQL Server 2008
Orange and Decisions-at-Hand: Bridging Predictive Data Mining ...
Applied Data Mining for Business and Industry [Giudici Figini] Wiley 2nd Ed 2009
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The volume presents recent advances in data analysis and decision support and gives an actual overview on the interface between mathematics, operations research, statistics, computer science, and ...
Multimedia information is ubiquitous and essential in many applications, and repositories of multimedia are numerous and extremely large. Consequently, researchers and professionals need new ...
Drawn from the US National Science Foundation’s Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation (NGDM 07), Next Generation of Data ...
Massive data sets pose a great challenge to many cross-disciplinary fields, including statistics. The high dimensionality and different data types and structures have now outstripped the capabilities ...
The explosion of Web-based data has created a demand among executives and technologists for methods to identify, gather, analyze, and utilize data that may be of value to corporations and ...
This book focuses on dealing with large-scale data, a field commonly referred to as data mining. The book is divided into three sections. The first deals with an introduction to statistical aspects ...
Several very powerful numerical linear algebra techniques are available for solving problems in data mining and pattern recognition. This application-oriented book describes how modern matrix methods ...
Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies based on the recent and current works at the ...
Univ. of Colorado, Denver. A text offering computerized techniques that are helping to close a human error gap between data collection and data comprehension in medical data mining and discovery. ...
Temporal data mining deals with the harvesting of useful information from temporal data. New initiatives in health care and business organizations have increased the importance of temporal ...