Rule Based Classification – Bücher zum Thema Rule Based Classification finden und kaufen

Buch Cover Rule Based Systems for Big Data

Han Liu, Alexander Gegov, Mihaela Cocea
Springer International Publishing
106.99 € · Hardcover

Big Data Computational Complexity Data Mining Ensemble Learning Expert Systems If-Then Rules Interpretability Machine Learning Overfitting Rule Based Classification Rule Based Systems

The ideas introduced in this book explore the relationships among rule based systems, machine learning and big data. Rule based systems are seen as a special type of expert systems, which can be built by using expert knowledge or learning from real data. The book focuses on the development and evalu...

Rule-Based Evolutionary Online Learning Systems

Martin V. Butz
Springer Berlin
106.99 € · Hardcover

Artificial Intelligence / Machine Learning Cognitive Science Genetic Algorithms Genetics-Based Machine Learning Learning Classifier Systems Online Learning Reinforcement Learning algorithm algorithms calculus classification complexity data mining learning

Rule-basedevolutionaryonlinelearningsystems,oftenreferredtoasMichig- style learning classi?er systems (LCSs), were proposed nearly thirty years ago (Holland, 1976; Holland, 1977) originally calling them cognitive systems. LCSs combine the strength of reinforcement learning with the generali- tion ca...

Granular Computing Based Machine Learning

Han Liu, Mihaela Cocea
Springer International Publishing
128.39 € · Hardcover

Data Mining Machine Learning Granular Computing Multi-granularity Learning Rule Based Systems Expert Systems Big Data If-Then Rules Ensemble Learning Rule Based Classification Overfitting Computational Complexity Interpretability

This book explores the significant role of granular computing in advancing machine learning towards in-depth processing of big data. It begins by introducing the main characteristics of big data, i.e., the five Vs—Volume, Velocity, Variety, Veracity and Variability. The book explores granular comp...

Rule Based Systems for Big Data

Han Liu, Alexander Gegov, Mihaela Cocea
Springer International Publishing
96.29 € · eBook

Big Data Computational Complexity Data Mining Ensemble Learning Expert Systems If-Then Rules Interpretability Machine Learning Overfitting Rule Based Classification Rule Based Systems

The ideas introduced in this book explore the relationships among rule based systems, machine learning and big data. Rule based systems are seen as a special type of expert systems, which can be built by using expert knowledge or learning from real data. The book focuses on the development and evalu...

Rule Based Systems for Big Data

Han Liu, Alexander Gegov, Mihaela Cocea
Springer International Publishing
106.99 € · Paperback

Big Data Computational Complexity Data Mining Ensemble Learning Expert Systems If-Then Rules Interpretability Machine Learning Overfitting Rule Based Classification Rule Based Systems

The ideas introduced in this book explore the relationships among rule based systems, machine learning and big data. Rule based systems are seen as a special type of expert systems, which can be built by using expert knowledge or learning from real data. The book focuses on the development and evalu...

Rule-Based Evolutionary Online Learning Systems

Martin V. Butz
Springer Berlin
106.99 € · Paperback

Artificial Intelligence / Machine Learning Cognitive Science Genetic Algorithms Genetics-Based Machine Learning Learning Classifier Systems Online Learning Reinforcement Learning algorithm algorithms calculus classification complexity data mining learning

Rule-basedevolutionaryonlinelearningsystems,oftenreferredtoasMichig- style learning classi?er systems (LCSs), were proposed nearly thirty years ago (Holland, 1976; Holland, 1977) originally calling them cognitive systems. LCSs combine the strength of reinforcement learning with the generali- tion ca...

Rule-Based Evolutionary Online Learning Systems

Martin V. Butz
Springer Berlin
96.29 € · eBook

Artificial Intelligence / Machine Learning Cognitive Science Genetic Algorithms Genetics-Based Machine Learning Learning Classifier Systems Online Learning Reinforcement Learning algorithm algorithms calculus classification complexity data mining learning

Rule-basedevolutionaryonlinelearningsystems,oftenreferredtoasMichig- style learning classi?er systems (LCSs), were proposed nearly thirty years ago (Holland, 1976; Holland, 1977) originally calling them cognitive systems. LCSs combine the strength of reinforcement learning with the generali- tion ca...

Buch Cover Enhancing Similarity Measures with Imperfect Rule-Based Background Knowledge

Timo Steffens
Akademische Verlagsgesellschaft AKA
50 € · Paperback

Clustering Domain knowledge Similarity Measures Similarity-based Classification

Similarity measures are the core of such diverse techniques as similarity-based classification, clustering and case-based reasoning. The performance of these techniques depends heavily on the quality of the similarity measure. This thesis provides a systematical approach for constructing knowledg...

Granular Computing Based Machine Learning

Han Liu, Mihaela Cocea
Springer International Publishing
128.39 € · Paperback

Data Mining Machine Learning Granular Computing Multi-granularity Learning Rule Based Systems Expert Systems Big Data If-Then Rules Ensemble Learning Rule Based Classification Overfitting Computational Complexity Interpretability

This book explores the significant role of granular computing in advancing machine learning towards in-depth processing of big data. It begins by introducing the main characteristics of big data, i.e., the five Vs—Volume, Velocity, Variety, Veracity and Variability. The book explores granular comp...

Granular Computing Based Machine Learning

Han Liu, Mihaela Cocea
Springer International Publishing
117.69 € · eBook

Data Mining Machine Learning Granular Computing Multi-granularity Learning Rule Based Systems Expert Systems Big Data If-Then Rules Ensemble Learning Rule Based Classification Overfitting Computational Complexity Interpretability

This book explores the significant role of granular computing in advancing machine learning towards in-depth processing of big data. It begins by introducing the main characteristics of big data, i.e., the five Vs—Volume, Velocity, Variety, Veracity and Variability. The book explores granular comp...

Constraint-Based Mining and Inductive Databases

Springer Berlin
53.49 € · eBook

Pattern Mining association rules mining classification constraint-based mining data analysis data mining database management frequent sets global patterns inductive databases inductive querying knowledge discovery rule discovery set pattern mining

...

Constraint-Based Mining and Inductive Databases

Springer Berlin
53.49 € · Paperback

Pattern Mining association rules mining classification constraint-based mining data analysis data mining database management frequent sets global patterns inductive databases inductive querying knowledge discovery rule discovery set pattern mining

...

Enhanced Machine Learning and Data Mining Methods for Analysing Large Hybrid Electric Vehicle Fleets based on Load Spectrum Data

Philipp Bergmeir
Springer Fachmedien Wiesbaden GmbH
80.24 € · eBook

Logged On-board Data Balanced Random Forest t-Distributed Stochastic Neighbour Embedding Rule Learning Classification vehicle ﬂeet Off-board data hybrid car battery stress patterns vehicle usage patterns

Philipp Bergmeir works on the development and enhancement of data mining and machine learning methods with the aim of analysing automatically huge amounts of load spectrum data that are recorded for large hybrid electric vehicle fleets. In particular, he presents new approaches for uncovering and de...

Enhanced Machine Learning and Data Mining Methods for Analysing Large Hybrid Electric Vehicle Fleets based on Load Spectrum Data

Philipp Bergmeir
Springer Fachmedien Wiesbaden GmbH
80.24 € · Paperback

Logged On-board Data Balanced Random Forest t-Distributed Stochastic Neighbour Embedding Rule Learning Classification vehicle ﬂeet Off-board data hybrid car battery stress patterns vehicle usage patterns

Philipp Bergmeir works on the development and enhancement of data mining and machine learning methods with the aim of analysing automatically huge amounts of load spectrum data that are recorded for large hybrid electric vehicle fleets. In particular, he presents new approaches for uncovering and de...

Advances in Learning Classifier Systems

Springer Berlin
53.49 € · Paperback

Adaptation Algorithmic Learning Classification Classifier Systems Clustering Data Analysis Data Mining Evolutionary Computing Learning Classifier Systems Multiagent Learning Rule-Based Systems algorithms expert system genetic algorithms learning

Learning classi er systems are rule-based systems that exploit evolutionary c- putation and reinforcement learning to solve di cult problems. They were - troduced in 1978 by John H. Holland, the father of genetic algorithms, and since then they have been applied to domains as diverse as autonomous r...