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Data Mining with Decision Trees: Theroy and Applications (Machine Perception and Artificial Intelligence)
Data Mining with Decision Trees: Theroy and Applications (Machine Perception and Artificial Intelligence)

This is the first comprehensive book dedicated entirely to the field of decision trees in data mining and covers all aspects of this important technique.Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining, the science and technology of exploring large and complex bodies of data in...

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...
Pattern Recognition, Third Edition
Pattern Recognition, Third Edition
A classic -- offering comprehensive and unified coverage with a balance between theory and practice!

Pattern recognition is integral to a wide spectrum of scientific disciplines and technologies including image analysis, speech recognition and audio classification, communications, computer-aided diagnosis, data mining. The authors,
...
Big Data Analytics Using Splunk: Deriving Operational Intelligence from Social Media, Machine Data, Existing Data Warehouses, and Other Real-Time Streaming Sources
Big Data Analytics Using Splunk: Deriving Operational Intelligence from Social Media, Machine Data, Existing Data Warehouses, and Other Real-Time Streaming Sources

Big Data Analytics Using Splunk is a hands-on book showing how to process and derive business value from big data in real time. Examples in the book draw from social media sources such as Twitter (tweets) and Foursquare (check-ins). You also learn to draw from machine data, enabling you to analyze, say, web server log files and...

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...
Information Theory and Statistical Learning
Information Theory and Statistical Learning
This book presents theoretical and practical results of information theoretic methods used in the context of statistical learning. Its major goal is to advocate and promote the importance and usefulness of information theoretic concepts for understanding and developing the sophisticated machine learning methods necessary not only...
Massively Parallel Evolutionary Computation on GPGPUs (Natural Computing Series)
Massively Parallel Evolutionary Computation on GPGPUs (Natural Computing Series)

Evolutionary algorithms (EAs) are metaheuristics that learn from natural collective behavior and are applied to solve optimization problems in domains such as scheduling, engineering, bioinformatics, and finance. Such applications demand acceptable solutions with high-speed execution using finite computational resources. Therefore, there have...

R for Data Science
R for Data Science

Learn and explore the fundamentals of data science with R

About This Book

  • Familiarize yourself with R programming packages and learn how to utilize them effectively
  • Learn how to detect different types of data mining sequences
  • A step-by-step guide to understanding R scripts...
Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner
Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner

Incorporating a new focus on data visualization and time series forecasting, Data Mining for Business Intelligence, Second Edition continues to supply insightful, detailed guidance on fundamental data mining techniques. This new edition guides readers through the use of the Microsoft Office Excel add-in XLMiner for developing...

Data Analysis, Machine Learning and Applications: Proceedings
Data Analysis, Machine Learning and Applications: Proceedings
Data analysis and machine learning are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medical science, bioinformatics and business intelligence. This volume...
Data Warehousing Fundamentals for IT Professionals
Data Warehousing Fundamentals for IT Professionals

Cutting-edge content and guidance from a data warehousing expert—now expanded to reflect field trends

Data warehousing has revolutionized the way businesses in a wide variety of industries perform analysis and make strategic decisions. Since the first edition of Data Warehousing Fundamentals, numerous...

Foundations of SQL Server 2008 R2 Business Intelligence
Foundations of SQL Server 2008 R2 Business Intelligence

Foundations of SQL Server 2008 R2 Business Intelligence introduces the exciting gamut of business intelligence tools included with SQL Server 2008. Microsoft has designed SQL Server 2008 to be more than just a database. It’s a complete business intelligence (BI) platform. The database is at the core, and surrounding the...

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