Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering by Isral Lerman
This book offers an original and broad exploration of the fundamental methods in Clustering and Combinatorial Data Analysis, presenting new formulations and ideas within this very active field.
With extensive introductions, formal and mathematical developments and real case studies, this book provides readers with a deeper understanding of the mutual relationships between these methods, which are clearly expressed with respect to three facets: logical, combinatorial and statistical.
Using relational mathematical representation, all types of data structures can be handled in precise and unified ways which the author highlights in three stages:
- Clustering a set of descriptive attributes
- Clustering a set of objects or a set of object categories
- Establishing correspondence between these two dual clusterings
Tools for interpreting the reasons of a given cluster or clustering are also included.
Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering will be a valuable resource for students and researchers who are interested in the areas of Data Analysis, Clustering, Data Mining and Knowledge Discovery.
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Game Theoretic Problems in Network Economics and Mechanism Design Solutions
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Ontological Engineering
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Mining Software Engineering Data for Software Reuse
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R-Trees: Theory and Applications
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Intelligence Management
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Secure Information Management Using Linguistic Threshold Approach
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Hierarchical Feature Selection for Knowledge Discovery
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Developing Multi-Database Mining Applications
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Seriation in Combinatorial and Statistical Data Analysis
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Uncertainty Handling and Quality Assessment in Data Mining
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Knowledge Discovery in Multiple Databases
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Meta-Programming and Model-Driven Meta-Program Development
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Smart Systems for E-Health
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Trends in Interactive Visualization
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Business Intelligence and Performance Management
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Privacy and Anonymity in Information Management Systems
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Scientific Data Analysis using Jython Scripting and Java
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Adaptive Resonance Theory in Social Media Data Clustering
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Agent-Based Service-Oriented Computing
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Knowledge Processing with Interval and Soft Computing
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Learning Representation for Multi-View Data Analysis
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Data Mining with Computational Intelligence
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Creating Web-based Laboratories
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Data Complexity in Pattern Recognition
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Representation and Management of Narrative Information
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Emergent Web Intelligence: Advanced Information Retrieval
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Machine Learning and Data Mining for Computer Security
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Data Mining for Social Robotics
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Convergence and Knowledge Processing in Multi-Agent Systems
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Artificial Intelligence and Economic Theory: Skynet in the Market
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Advanced Methods for Knowledge Discovery from Complex Data
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Understanding Information
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Robust Representation for Data Analytics
“This book provides a synthetic and systematic presentation of clustering, combinatorial, and statistical data analysis… the presentation is interesting and original. Keeping a smart balance between theoretical concepts and practical issues, the book is addressed to students and researchers interested in data mining, data analysis, and clustering.” (Florin Gorunescu, zbMATH 1338.62012, 2016)
| SKU | Unavailable |
| ISBN 13 | 9781447167914 |
| ISBN 10 | 1447167910 |
| Title | Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering |
| Author | Isral Lerman |
| Series | Advanced Information And Knowledge Processing |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer London Ltd |
| Year published | 2016-04-04 |
| Number of pages | 647 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |