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Data Mining and Knowledge Discovery for Process Monitoring and Control (Advances in Industrial Control)
Data Mining and Knowledge Discovery for Process Monitoring and Control (Advances in Industrial Control)
Modern computer-based control systems are able to collect a large amount of information, display it to operators and store it in databases but the interpretation of the data and the subsequent decision making relies mainly on operators with little computer support. This book introduces developments in automatic analysis and interpretation of...
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...

Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 13th International Conference, RSFDGrC 2011, Moscow, Russia, June 25-27, 2011, Proceedings (Lecture Notes in Computer Science)
Rough Sets, Fuzzy Sets, Data Mining and Granular Computing: 13th International Conference, RSFDGrC 2011, Moscow, Russia, June 25-27, 2011, Proceedings (Lecture Notes in Computer Science)
This book constitutes the refereed proceedings of the 13th International Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, R.S.F.D.Gr.C. 2011, held in Moscow, Russia in June 2011. The 49 revised full papers presented together with 5 invited and 2 tutorial papers were carefully reviewed and selected from a total of 83...
Machine Learning in Java: Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd Edition
Machine Learning in Java: Helpful techniques to design, build, and deploy powerful machine learning applications in Java, 2nd Edition

Leverage the power of Java and its associated machine learning libraries to build powerful predictive models

Key Features

  • Solve predictive modeling problems using the most popular machine learning Java libraries
  • Explore data processing, machine learning, and NLP concepts...
Python Web Scraping Cookbook: Over 90 proven recipes to get you scraping with Python, micro services, Docker and AWS
Python Web Scraping Cookbook: Over 90 proven recipes to get you scraping with Python, micro services, Docker and AWS

Untangle your web scraping complexities and access web data with ease using Python scripts

Key Features

  • Hands-on recipes to advance your web scraping skills to expert level
  • Address complex and challenging web scraping tasks using Python
  • Understand the web...
Hands-On Recommendation Systems with Python: Start building powerful and personalized, recommendation engines with Python
Hands-On Recommendation Systems with Python: Start building powerful and personalized, recommendation engines with Python

With Hands-On Recommendation Systems with Python, learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web

Key Features

  • Build industry-standard recommender systems
  • ...
Blockchain Quick Reference: A guide to exploring decentralized Blockchain application development
Blockchain Quick Reference: A guide to exploring decentralized Blockchain application development

Understand the Blockchain revolution and get to grips with Ethereum, Hyperledger Fabric, and Corda.

Key Features

  • Resolve common challenges and problems faced in the Blockchain domain
  • Study architecture, concepts, terminologies, and Dapps
  • Make smart choices...
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...
Learn R for Applied Statistics: With Data Visualizations, Regressions, and Statistics
Learn R for Applied Statistics: With Data Visualizations, Regressions, and Statistics
Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and data mining. This book covers topics ranging from R syntax basics, descriptive statistics, and data visualizations to inferential statistics and regressions. After learning R’s syntax, you will...
The Influence of Technology on Social Network Analysis and Mining (Lecture Notes in Social Networks)
The Influence of Technology on Social Network Analysis and Mining (Lecture Notes in Social Networks)

The study of social networks was originated in social and business communities. In recent years, social network research has advanced significantly; the development of sophisticated techniques for Social Network Analysis and Mining (SNAM) has been highly influenced by the online social Web sites, email logs, phone logs and instant...

Data Mining for Social Network Data (Annals of Information Systems)
Data Mining for Social Network Data (Annals of Information Systems)

Driven by counter-terrorism efforts, marketing analysis, and the explosion in on-line social networking, data mining has moved to the top of the agenda in information science. This book presents a broad range of recent studies in social networking analysis.

 

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New Trends in Applied Artificial Intelligence: 20th International Conference on Industrial, Engineering, and Other Applications of  Applied ... (Lecture Notes in Computer Science)
New Trends in Applied Artificial Intelligence: 20th International Conference on Industrial, Engineering, and Other Applications of Applied ... (Lecture Notes in Computer Science)
Applied artificial intelligence researchers have been focusing on developing and employing methods and systems to solve real-life problems in all areas including engineering, science, industry, automation & robotics, business & finance, cyberspace, and man–machine interactions. The 20th International...
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