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International Project Management
International Project Management
International Project Management provides specific guidelines for achieving greater project success. It is the result of 15 years of work on international projects by the authors across various project areas and industries. The authors address a need for modern techniques in project management geared and suited to international...
Content Computing: Advanced Workshop on Content Computing, AWCC 2004
Content Computing: Advanced Workshop on Content Computing, AWCC 2004

This book constitutes the refereed proceedings of the Advanced Workshop on Content Computing, AWCC 2004, held in Zhen Jiang, Jiang Su, China in November 2004.

The 26 revised full papers and 36 revised short papers presented were carefully reviewed and selected from 194 submissions. The papers are organized in topical sections on mobile...

Rule-Based Evolutionary Online Learning Systems: A Principled Approach to LCS Analysis and Design
Rule-Based Evolutionary Online Learning Systems: A Principled Approach to LCS Analysis and Design
This book offers a comprehensive introduction to learning classifier systems (LCS) – or more generally, rule-based evolutionary online learning systems. LCSs learn interactively – much like a neural network – but with an increased adaptivity and flexibility. This book provides the necessary background knowledge on problem types,...
Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis (Information Science and Statistics)
Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis (Information Science and Statistics)
Probabilistic networks, also known as Bayesian networks and influence diagrams, have become one of the most promising technologies in the area of applied artificial intelligence, offering intuitive, efficient, and reliable methods for diagnosis, prediction, decision making, classification, troubleshooting, and data mining under uncertainty....
Spatial AutoRegression (SAR) Model: Parameter Estimation Techniques (SpringerBriefs in Computer Science)
Spatial AutoRegression (SAR) Model: Parameter Estimation Techniques (SpringerBriefs in Computer Science)
Explosive growth in the size of spatial databases has highlighted the need for spatial data analysis and spatial data mining techniques to mine the interesting but implicit spatial patterns within these large databases. Extracting useful and interesting patterns from massive geo-spatial datasets is important for many application...
Foundations of SQL Server 2005 Business Intelligence
Foundations of SQL Server 2005 Business Intelligence
Just as every business needs to effectively employ Business Intelligence (BI) to stay competitive, every IT professional needs to master BI to stay employed in this fastest-growing segment of Information Technology. Foundations of SQL Server 2005 Business Intelligence is the quickest path to understanding BI, and it is essential reading...
Bioinformatics: An Introduction (Computational Biology)
Bioinformatics: An Introduction (Computational Biology)
Bioinformatics is interpreted as the application of information science to biology, in which it plays a fundamental and all-pervasive role. The field continues to develop intensively in both academia and commercially, and is highly interdisciplinary. This broad-ranging and thoroughly updated second edition covers new findings while retaining the...
Principles and Theory for Data Mining and Machine Learning (Springer Series in Statistics)
Principles and Theory for Data Mining and Machine Learning (Springer Series in Statistics)

This book is a thorough introduction to the most important topics in data mining and machine learning. It begins with a detailed review of classical function estimation and proceeds with chapters on nonlinear regression, classification, and ensemble methods. The final chapters focus on clustering, dimension reduction, variable selection, and...

Data Mining: Practical Machine Learning Tools and Techniques, Third Edition
Data Mining: Practical Machine Learning Tools and Techniques, Third Edition

The convergence of computing and communication has produced a society that feeds on information. Yet most of the information is in its raw form: data. If data is characterized as recorded facts, then information is the set of patterns, or expectations, that underlie the data. There is a huge amount of information locked up in...

Blockchain for Business 2019: A user-friendly introduction to blockchain technology and its business applications
Blockchain for Business 2019: A user-friendly introduction to blockchain technology and its business applications

Your one-stop guide to blockchain technology and its business applications

Key Features

  • Assimilate blockchain services such as Ethereum and Hyperledger to transform industrial applications
  • Know in and out of blockchain technology to understand various business use...
Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage
Data Mining the Web: Uncovering Patterns in Web Content, Structure, and Usage
Learn How To Convert Web Data Into Web Knowledge

This text demonstrates how to extract knowledge by finding meaningful connections among data spread throughout the Web. Readers learn methods and algorithms from the fields of information retrieval, machine learning, and data mining which, when combined, provide a solid...

High-Throughput Image Reconstruction and Analysis (Bioinformatics & Biomedical Imaging)
High-Throughput Image Reconstruction and Analysis (Bioinformatics & Biomedical Imaging)

Progress in biology is dependent on the ability to observe, measure, and model the behavior of organisms at multiple levels of abstraction, from the microscopic to the macroscopic. There has been a tremendous growth recently in the techniques to probe the structure and workings of cellular and organ-level mechanisms. Significant advances have...

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