Ergebnisse für: Subgroup discovery

Hier findest Du Bücher, die sich mit Subgroup discovery beschäftigen.

Buch Cover Supervised Descriptive Pattern Mining
This book provides a general and comprehensible overview of supervised descriptive pattern mining, considering classic algorithms and those based on heuristics.  It provides some formal definitions and a general idea about patterns, pattern mining, the usefulness of patterns...
Buch Cover Pattern Mining with Evolutionary Algorithms
This book provides a comprehensive overview of the field of pattern mining with evolutionary algorithms. To do so, it covers formal definitions about patterns, patterns mining, type of patterns and the usefulness of patterns in the knowledge discovery process. As it is described within the book, the...
Buch Cover Foundations of Rule Learning
Rules – the clearest, most explored and best understood form of knowledge representation – are particularly important for data mining, as they offer the best tradeoff between human and machine understandability. This book presents the fundamentals of rule learning as investigated in classical ma...
Buch Cover Knowledge-Intensive Subgroup Mining
Martin Atzmüller
Akademische Verlagsgesellschaft AKA
50 € · Paperback
Data Mining Hintergrundwissen Subgroup mining Subgruppenentdeckung Visualisierung
Subgroup mining is a powerful and broadly applicable data mining approach: In general, the goal is to efficiently discover novel, potentially useful and ultimately interesting knowledge given by subgroup patterns. However, in real-world situations these requirements often cannot be fulfilled, e.g., ...
Buch Cover Foundations of Rule Learning
Rules – the clearest, most explored and best understood form of knowledge representation – are particularly important for data mining, as they offer the best tradeoff between human and machine understandability. This book presents the fundamentals of rule learning as investigated in classical ma...
Buch Cover Pattern Mining with Evolutionary Algorithms
This book provides a comprehensive overview of the field of pattern mining with evolutionary algorithms. To do so, it covers formal definitions about patterns, patterns mining, type of patterns and the usefulness of patterns in the knowledge discovery process. As it is described within the book, the...
Buch Cover Supervised Descriptive Pattern Mining
This book provides a general and comprehensible overview of supervised descriptive pattern mining, considering classic algorithms and those based on heuristics.  It provides some formal definitions and a general idea about patterns, pattern mining, the usefulness of patterns...
Buch Cover Pattern Mining with Evolutionary Algorithms
This book provides a comprehensive overview of the field of pattern mining with evolutionary algorithms. To do so, it covers formal definitions about patterns, patterns mining, type of patterns and the usefulness of patterns in the knowledge discovery process. As it is described within the book, the...
Buch Cover Foundations of Rule Learning
Rules – the clearest, most explored and best understood form of knowledge representation – are particularly important for data mining, as they offer the best tradeoff between human and machine understandability. This book presents the fundamentals of rule learning as investigated in classical ma...
Buch Cover Supervised Descriptive Pattern Mining
This book provides a general and comprehensible overview of supervised descriptive pattern mining, considering classic algorithms and those based on heuristics.  It provides some formal definitions and a general idea about patterns, pattern mining, the usefulness of patterns...

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