Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
New Generation Computing - Selected papers from the international workshop on algorithmic learning theory,1990
Rule induction with CN2: some recent improvements
EWSL-91 Proceedings of the European working session on learning on Machine learning
Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
Data mining: a hands-on approach for business professionals
Data mining: a hands-on approach for business professionals
Predictive data mining: a practical guide
Predictive data mining: a practical guide
Data preparation for data mining
Data preparation for data mining
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: concepts and techniques
Data mining: concepts and techniques
Data Warehousing, Data Mining, and Olap
Data Warehousing, Data Mining, and Olap
Intelligent Data Analysis: An Introduction
Intelligent Data Analysis: An Introduction
Mastering Data Mining: The Art and Science of Customer Relationship Management
Mastering Data Mining: The Art and Science of Customer Relationship Management
Data Mining Techniques: For Marketing, Sales, and Customer Support
Data Mining Techniques: For Marketing, Sales, and Customer Support
Inductive Logic Programming: Techniques and Applications
Inductive Logic Programming: Techniques and Applications
Knowledge Discovery in Databases
Knowledge Discovery in Databases
Machine Learning
Relational peculiarity-oriented mining
Data Mining and Knowledge Discovery
Agents and data mining: mutual enhancement by integration
AIS-ADM 2005 Proceedings of the 2005 international conference on Autonomous Intelligent Systems: agents and Data Mining
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Data mining, the central activity in the process of knowledge discovery in databases, is concerned with finding patterns in data. This chapter introduces and illustrates the most common types of patterns considered by data mining approaches and gives rough outlines of the data mining algorithms that are most frequently used to look for such patterns. It also briefly introduces relational data mining, starting with patterns that involve multiple relations and laying down the basic principles common to relational data mining algorithms. An overview of the contents of this book is given, as well as pointers to literature and Internet resources on data mining.