Pattern Mining with Evolutionary Algorithms
Springer International Publishing (Verlag)
978-3-319-33857-6 (ISBN)
This book offers a survey on evolutionary computation with particular emphasis on genetic algorithms and genetic programming. Also included is an analysis of the set of quality measures most widely used in the field of pattern mining with evolutionary algorithms. This book serves as a review of the most important evolutionary algorithms for pattern mining. It considers the analysis of different algorithms for mining different type of patterns and relationships between patterns, such as frequent patterns, infrequent patterns, patterns defined in a continuous domain, or even positive and negative patterns.
A completely new problem in the pattern mining field, mining of exceptional relationships between patterns, is discussed. In this problem the goal is to identify patterns which distribution is exceptionally different from the distribution in the complete set of data records. Finally, the book deals with the subgroup discovery task, a method to identify a subgroup of interesting patterns that is related to a dependent variable or target attribute. This subgroup of patternssatisfies two essential conditions: interpretability and interestingness.
Introduction to Pattern Mining.- Quality Measures in Pattern Mining.- Introduction to Evolutionary Computation.- Pattern Mining with Genetic Algorithms.- Genetic Programming in Pattern Mining.- Multiobjective Approaches in Pattern Mining.- Supervised Local Pattern Mining.- Mining Exceptional Relationships Between Patterns.- Scalability in Pattern Mining.
"Pattern Mining with Evolutionary Algorithms provides an overview of methods using evolutionary algorithms for discovering interesting patterns. The book is very useful and can potentially attract more people to carry out research and applications in pattern mining using evolutionary algorithms. ... I found it easy to read, well-written and well-structured, very beneficial and important for readers to develop substantial learning. In view of this, I strongly recommend this valuable book." (Bing Xue, Genetic Programming and Evolvable Machines, Vol. 18, 2017)
Erscheinungsdatum | 08.10.2016 |
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Zusatzinfo | XIII, 190 p. 126 illus., 4 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 468 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Schlagworte | Algorithm analysis and problem complexity • Association Rule Mining • Computer Science • Continuous Patterns • data mining and knowledge discovery • evolutionary algorithms • Exceptional relationships • frequent pattern mining • Genetic algorithms • genetic programming • hybrid algorithms • Infrequent Pattern Mining • Multi-Objective Evolutionary Algorithms • Negative Association Rules • pattern mining • Pattern mining quality measures • pattern recognition • Subgroup discovery • Supervised Local Search |
ISBN-10 | 3-319-33857-9 / 3319338579 |
ISBN-13 | 978-3-319-33857-6 / 9783319338576 |
Zustand | Neuware |
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