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Data Mining in Biomedicine (Springer Optimization and Its Applications)
Data Mining in Biomedicine (Springer Optimization and Its Applications)

This volume presents an extensive collection of contributions covering aspects of the exciting and important research field of data mining techniques in biomedicine. Coverage includes new approaches for the analysis of biomedical data; applications of data mining techniques to real-life problems in medical practice; comprehensive...

Pharmacy Informatics
Pharmacy Informatics

Applies the Principles of Informatics to the Pharmacy Profession
Emphasizes Evidence-Based Practice and Quality Improvement Approaches

Leading the way in the integration of information technology with healthcare, Pharmacy Informatics reflects some of the rapid changes that have developed in...

Visual Analytics and Interactive Technologies: Data, Text and Web Mining Applications (Premier Reference Source)
Visual Analytics and Interactive Technologies: Data, Text and Web Mining Applications (Premier Reference Source)

Large volumes of data and complex problems inspire research in computing and data, text, and web mining. However, analyzing data is not sufficient, as it has to be presented visually with analytical capabilities, i.e., a chart/diagram/image illustration that enables humans to perceive, relate, and conclude in the knowledge discovery...

Mining of Massive Datasets
Mining of Massive Datasets
This book evolved from material developed over several years by Anand Rajaraman and Jeff Ullman for a one-quarter course at Stanford. The course CS345A, titled “Web Mining,” was designed as an advanced graduate course, although it has become accessible and interesting to advanced undergraduates.

The popularity of...

Heuristic and Optimization for Knowledge Discovery
Heuristic and Optimization for Knowledge Discovery
With the large amount of data stored by many organizations, capitalists have observed that this information is an intangible asset. Unfortunately, handling large databases is a very complex process and traditional learning techniques are expensive to use. Heuristic techniques provide much help in this arena, although little is known about heuristic...
Web Mining and Social Networking: Techniques and Applications
Web Mining and Social Networking: Techniques and Applications

This book examines the techniques and applications involved in the Web Mining, Web Personalization and Recommendation and Web Community Analysis domains, including a detailed presentation of the principles, developed algorithms, and systems of the research in these areas. The applications of web mining, and the issue of how to incorporate web...

The 3rd International Workshop on Intelligent Data Analysis and Management (Springer Proceedings in Complexity)
The 3rd International Workshop on Intelligent Data Analysis and Management (Springer Proceedings in Complexity)

These papers on Intelligent Data Analysis and Management (IDAM) examine issues related to the research and applications of Artificial Intelligence techniques in data analysis and management across a variety of disciplines. The papers derive from the 2013 IDAM conference in Kaohsiung ,Taiwan. It is an interdisciplinary research field involving...

Hands-On Bitcoin Programming with Python: Build powerful online payment centric applications with Python
Hands-On Bitcoin Programming with Python: Build powerful online payment centric applications with Python

Simplified Python programming for Bitcoin and blockchain

Key Features

  • Build Bitcoin applications in Python with the help of simple examples
  • Mine Bitcoins, program Bitcoin-enabled APIs and transaction graphs, and build trading bots
  • Analyze Bitcoin...
Computational Intelligence in Expensive Optimization Problems (Adaptation, Learning, and Optimization)
Computational Intelligence in Expensive Optimization Problems (Adaptation, Learning, and Optimization)

In modern science and engineering, laboratory experiments are replaced by high fidelity and computationally expensive simulations. Using such simulations reduces costs and shortens development times but introduces new challenges to design optimization process. Examples of such challenges include limited computational resource for simulation...

Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques (Advances in Natural and Technological Hazards Research)
Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques (Advances in Natural and Technological Hazards Research)
This edited volume assesses capabilities of data mining algorithms for spatial modeling of natural hazards in different countries based on a collection of essays written by experts in the field. The book is organized on different hazards including landslides, flood, forest fire, land subsidence, earthquake, and gully erosion. Chapters were...
Data Mining Cookbook: Modeling Data for Marketing, Risk and Customer Relationship Management
Data Mining Cookbook: Modeling Data for Marketing, Risk and Customer Relationship Management
Get a data mining recipe for success to increase profits and reduce costs in today’s business world with–This book shows you how to create and implement models of the most commonly asked data mining questions for marketing, sales, risk analysis, and customer relationship management and support. You’ll get proven modeling...
Processing and Managing Complex Data for Decision Support
Processing and Managing Complex Data for Decision Support
In many decision support fields the data that is exploited tends to be more and more complex. To take this phenomenon into account, classical architectures of data warehouses or data mining algorithms must be completely re-evaluated.

Processing and Managing Complex Data for Decision Support provides readers with an overview of the emerging...

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