Knowledge Discovery in Multiple Databases by Shichao Zhang
Many organizations have an urgent need of mining their multiple databases inherently distributed in branches (distributed data). In particular, as the Web is rapidly becoming an information flood, individuals and organizations can take into account low-cost information and knowledge on the Internet when making decisions. How to efficiently identify quality knowledge from different data sources has become a significant challenge. This challenge has attracted a great many researchers including the au thors who have developed a local pattern analysis, a new strategy for dis covering some kinds of potentially useful patterns that cannot be mined in traditional multi-database mining techniques. Local pattern analysis deliv ers high-performance pattern discovery from multiple databases. There has been considerable progress made on multi-database mining in such areas as hierarchical meta-learning, collective mining, database classification, and pe culiarity discovery. While these techniques continue to be future topics of interest concerning multi-database mining, this book focuses on these inter esting issues under the framework of local pattern analysis. The book is intended for researchers and students in data mining, dis tributed data analysis, machine learning, and anyone else who is interested in multi-database mining. It is also appropriate for use as a text supplement for broader courses that might also involve knowledge discovery in databases and data mining.-
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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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
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Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering
From the reviews:
"The book contains the latest on research in database multi-mining (32 papers published after 2000) and offers for consideration a local-pattern analysis framework for pattern discovery from multiple data sourcesStarting from the local pattern in multiple data bases, the authors propose … a new pattern named ‘high-vote’ pattern based on statistical analysis of vote ratio received by a pattern from each branch of the company." (Silviu Craciunas, Zentralblatt MATH, Vol. 1067, 2005)
| SKU | Unavailable |
| ISBN 13 | 9781447110507 |
| ISBN 10 | 1447110501 |
| Title | Knowledge Discovery in Multiple Databases |
| Author | Shichao Zhang |
| Series | Advanced Information And Knowledge Processing |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer London Ltd |
| Year published | 2012-10-04 |
| Number of pages | 233 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |