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Data Mining for Systems Biology: Methods and Protocols (Methods in Molecular Biology)
Data Mining for Systems Biology: Methods and Protocols (Methods in Molecular Biology)

The post-genomic revolution is witnessing the generation of petabytes of data annually, with deep implications ranging across evolutionary theory, developmental biology, agriculture, and disease processes. Data Mining for Systems Biology: Methods and Protocols, surveys and demonstrates the science and technology of converting...

Clustering for Data Mining: A Data Recovery Approach (Chapman & Hall/CRC Computer Science & Data Analysis)
Clustering for Data Mining: A Data Recovery Approach (Chapman & Hall/CRC Computer Science & Data Analysis)
Often considered more as an art than a science, the field of clustering has been dominated by learning through examples and by techniques chosen almost through trial-and-error. Even the most popular clustering methods--K-Means for partitioning the data set and Ward's method for hierarchical clustering--have lacked the theoretical...
Learning from Data Streams: Processing Techniques in Sensor Networks
Learning from Data Streams: Processing Techniques in Sensor Networks
Sensor networks consist of distributed autonomous devices that cooperatively monitor an environment. Sensors are equipped with capacities to store information in memory, process this information and communicate with their neighbors. Processing data streams generated from wireless sensor networks has raised new research challenges over the last few...
Data Mining: Foundations and Practice (Studies in Computational Intelligence)
Data Mining: Foundations and Practice (Studies in Computational Intelligence)
The IEEE ICDM 2004 workshop on the Foundation of Data Mining and the IEEE ICDM 2005 workshop on the Foundation of Semantic Oriented Data and Web Mining focused on topics ranging from the foundations of data mining to new data mining paradigms. The workshops brought together both data mining researchers and practitioners to discuss these two...
Soft Computing for Data Mining Applications (Studies in Computational Intelligence)
Soft Computing for Data Mining Applications (Studies in Computational Intelligence)
The authors have consolidated their research work in this volume titled Soft Computing for Data Mining Applications. The monograph gives an insight into the research in the ?elds of Data Mining in combination with Soft Computing methodologies. In these days, the data continues to grow - ponentially. Much of the data is implicitly or explicitly...
Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data, Second Edition
Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data, Second Edition

The second edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data is still the only book, to date, to distinguish between statistical data mining and machine-learning data mining. The first edition, titled Statistical Modeling and...

Model Predictive Control System Design and Implementation Using MATLAB® (Advances in Industrial Control)
Model Predictive Control System Design and Implementation Using MATLAB® (Advances in Industrial Control)
Model Predictive Control (MPC) is unusual in receiving on-going interest in both industrial and academic circles. Issues such as plant optimization and constrained control which are critical to industrial engineers are naturally embedded in its designs.

Model Predictive Control System Design and Implementation Using MATLAB®...

Decision Trees for Business Intelligence and Data Mining: Using SAS Enterprise Miner
Decision Trees for Business Intelligence and Data Mining: Using SAS Enterprise Miner
Using SAS Enterprise Miner, Barry de Ville's Decision Trees for Business Intelligence and Data Mining illustrates the application and operation of decision trees in business intelligence, data mining, business analytics, prediction, and knowledge discovery. It explains in detail the use of decision trees as a data mining technique and...
Multimedia Databases and Image Communication - Proceedings of the Workshop on MDIC 2004 (Software Engineering and Knowledge Engineering)
Multimedia Databases and Image Communication - Proceedings of the Workshop on MDIC 2004 (Software Engineering and Knowledge Engineering)

There is a strong need for advances in the fields of image indexing and retrieval and visual query languages for multimedia databases. Image technology is facing both classical and novel problems for the organization and filtering of increasingly large amounts of pictorial data. Novel kinds of problems, such as indexing and high-level...

Visual Insights: A Practical Guide to Making Sense of Data (The MIT Press)
Visual Insights: A Practical Guide to Making Sense of Data (The MIT Press)

A guide to the basics of information visualization that teaches nonprogrammers how to use advanced data mining and visualization techniques to design insightful visualizations.

In the age of Big Data, the tools of information visualization offer us a macroscope to help us make sense of the avalanche of data...

Signal Processing for Intelligent Sensor Systems with MATLAB® (Signal Processing and Communications)
Signal Processing for Intelligent Sensor Systems with MATLAB® (Signal Processing and Communications)

Signal Processing for Intelligent Sensors with MATLAB®, Second Edition once again presents the key topics and salient information required for sensor design and application. Organized to make it accessible to engineers in school as well as those practicing in the field, this reference...

Customer and Business Analytics (Chapman & Hall/CRC The R Series)
Customer and Business Analytics (Chapman & Hall/CRC The R Series)

Customer and Business Analytics: Applied Data Mining for Business Decision Making Using R explains and demonstrates, via the accompanying open-source software, how advanced analytical tools can address various business problems. It also gives insight into some of the challenges faced when deploying these tools....

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