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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...

Nonlinear integrals and their applications in data mining (Advances in Fuzzy Systemss - Applications and Theory)
Nonlinear integrals and their applications in data mining (Advances in Fuzzy Systemss - Applications and Theory)

Regarding the set of all feature attributes in a given database as the universal set, this monograph discusses various nonadditive set functions that describe the interaction among the contributions from feature attributes towards a considered target attribute. Then, the relevant nonlinear integrals are investigated. These integrals can be...

Dark Web: Exploring and Data Mining the Dark Side of the Web (Integrated Series in Information Systems)
Dark Web: Exploring and Data Mining the Dark Side of the Web (Integrated Series in Information Systems)

The University of Arizona Artificial Intelligence Lab (AI Lab) Dark Web project is a long-term scientific research program that aims to study and understand the international terrorism (Jihadist) phenomena via a computational, data-centric approach. We aim to collect "ALL" web content generated by international terrorist groups,...

Association Rule Mining: Models and Algorithms (Lecture Notes in Computer Science)
Association Rule Mining: Models and Algorithms (Lecture Notes in Computer Science)

Due to the popularity of knowledge discovery and data mining, in practice as well as among academic and corporate R&D professionals, association rule mining is receiving increasing attention.
The authors present the recent progress achieved in mining quantitative association rules, causal rules, exceptional rules, negative
...

Introducing Data Science: Big Data, Machine Learning, and more, using Python tools
Introducing Data Science: Big Data, Machine Learning, and more, using Python tools

Summary

Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python libraries, you'll experience firsthand the challenges of dealing with data at scale and gain a solid foundation in data science.

...

Data Mining for Bioinformatics
Data Mining for Bioinformatics

Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a comprehensive discussion of data-intensive computations used in data mining with applications in bioinformatics. It supplies a broad, yet in-depth, overview of the application domains of data mining...

Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Support Vector Machines: Optimization Based Theory, Algorithms, and Extensions presents an accessible treatment of the two main components of support vector machines (SVMs)―classification problems and regression problems. The book emphasizes the close connection between optimization theory and SVMs since optimization is...

Advances in Intelligent Informatics (Advances in Intelligent Systems and Computing)
Advances in Intelligent Informatics (Advances in Intelligent Systems and Computing)
The third International Symposium on Intelligent Informatics (ISI-2014) provided a forum for sharing original research results and practical development experiences among experts in the emerging areas of Intelligent Informatics. This edition was co-located with third International Conference on Advances in Computing, Communications...
RapidMiner: Data Mining Use Cases and Business Analytics Applications
RapidMiner: Data Mining Use Cases and Business Analytics Applications

Powerful, Flexible Tools for a Data-Driven World
As the data deluge continues in today’s world, the need to master data mining, predictive analytics, and business analytics has never been greater. These techniques and tools provide unprecedented insights into data, enabling better decision making and forecasting, and
...

Data Mining and Business Analytics with R
Data Mining and Business Analytics with R

Collecting, analyzing, and extracting valuable information froma large amount of data requires easily accessible, robust,computational and analytical tools. Data Mining and BusinessAnalytics with R utilizes the open source software R for theanalysis, exploration, and simplification of large high-dimensionaldata sets. As a result, readers are...

Sequence Data Mining (Advances in Database Systems)
Sequence Data Mining (Advances in Database Systems)
Sequences are an important type of data which occur frequently in many scientific, medical, security, business and other applications. For example, DNA sequences encode the genetic makeup of humans and all species, and protein sequences describe the amino acid composition of proteins and encode the structure and function of...
Dynamic and Advanced Data Mining for Progressing Technological Development: Innovations and Systemic Approaches
Dynamic and Advanced Data Mining for Progressing Technological Development: Innovations and Systemic Approaches

Overcoming many challenges, data mining has already established discipline capability in many domains. discusses advances in modern data mining research in today's rapidly growing global and technological...

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