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Grid Computing for Bioinformatics and Computational Biology (Wiley Series in Bioinformatics)
Grid Computing for Bioinformatics and Computational Biology (Wiley Series in Bioinformatics)
The only single, up-to-date source for Grid issues in bioinformatics and biology

Bioinformatics is fast emerging as an important discipline for academic research and industrial applications, creating a need for the use of Grid computing techniques for large-scale distributed applications. This book successfully presents Grid algorithms and...

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource...

Hands-On Data Science with Anaconda: Utilize the right mix of tools to create high-performance data science applications
Hands-On Data Science with Anaconda: Utilize the right mix of tools to create high-performance data science applications

Develop, deploy, and streamline your data science projects with the most popular end-to-end platform, Anaconda

Key Features

  • Use Anaconda to find solutions for clustering, classification, and linear regression
  • Analyze your data efficiently with the most powerful data...
Data Mining Algorithms in C++: Data Patterns and Algorithms for Modern Applications
Data Mining Algorithms in C++: Data Patterns and Algorithms for Modern Applications
Discover hidden relationships among the variables in your data, and learn how to exploit these relationships.  This book presents a collection of data-mining algorithms that are effective in a wide variety of prediction and classification applications.  All algorithms include an intuitive explanation of operation, essential...
Advances in Data Analysis: Proceedings of the 30th Annual Conference
Advances in Data Analysis: Proceedings of the 30th Annual Conference
The book focuses on exploratory data analysis, learning of latent structures in datasets, and unscrambling of knowledge. It covers a broad range of methods from multivariate statistics, clustering and classification, visualization and scaling as well as from data and time series analysis. It provides new approaches for information retrieval and...
Data Mining: The Textbook
Data Mining: The Textbook

This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining problems to introduce advanced data types such as text, time series, discrete sequences,...

Information Theory, Inference and Learning Algorithms
Information Theory, Inference and Learning Algorithms
"...a valuable reference...enjoyable and highly useful." American Scientist

"...an impressive book, intended as a class text on the subject of the title but having the character and robustness of a focused encyclopedia. The presentation is finely detailed, well documented, and stocked with artistic flourishes."
...
Programming Computer Vision with Python: Tools and algorithms for analyzing images
Programming Computer Vision with Python: Tools and algorithms for analyzing images
Today, images and video are everywhere. Online photo-sharing sites and social networks have them in the billions. Search engines will produce images of just about any conceivable query. Practically all phones and computers come with built-in cameras. It is not uncommon for people to have many gigabytes of photos and...
Graph-Based Clustering and Data Visualization Algorithms (SpringerBriefs in Computer Science)
Graph-Based Clustering and Data Visualization Algorithms (SpringerBriefs in Computer Science)
This work presents a data visualization technique that combines graph-based topology representation and dimensionality reduction methods to visualize the intrinsic data structure in a low-dimensional vector space. The application of graphs in clustering and visualization has several advantages. A graph of important edges (where edges...
Designing Storage Area Networks: A Practical Reference for Implementing Fibre Channel and IP SANs, Second Edition
Designing Storage Area Networks: A Practical Reference for Implementing Fibre Channel and IP SANs, Second Edition
Storage Area Networks (SANs) are now recognized as the preferred solution for fulfilling institutions' and enterprises' critical data-storage needs. Whether powered by Fibre Channel or TCP/IP and Gigabit Ethernet technology, SANs far exceed the capabilities of traditional storage access methods. SANs are quickly becoming the solution of choice...
Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems)
Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems)

We are deluged by data—scientific data, medical data, demographic data, financial data, and marketing data. People have no time to look at this data. Human attention has become a precious resource. So, we must find ways to automatically analyze the data, to automatically classify it, to automatically summarize it, to...

Professional Microsoft SQL Server 2008 Administration (Wrox Programmer to Programmer)
Professional Microsoft SQL Server 2008 Administration (Wrox Programmer to Programmer)
Loaded with unique tips, tricks and workarounds for handling the most difficult SQL Server admin issues, Professional Microsoft SQL Server 2008 Administration is a how-to guide for experienced DBAs. Understand how to manage and monitor the SQL Server, automated administration, security, change management, performance tuning, scaling and...
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