Advanced Methods for Knowledge Discovery from Complex Data by Ujjwal Maulik
The growth in the amount of data collected and generated has exploded in recent times with the widespread automation of various day-to-day activities, advances in high-level scienti?c and engineering research and the development of e?cient data collection tools. This has given rise to the need for automa- callyanalyzingthedatainordertoextractknowledgefromit,therebymaking the data potentially more useful. Knowledge discovery and data mining (KDD) is the process of identifying valid, novel, potentially useful and ultimately understandable patterns from massive data repositories. It is a multi-disciplinary topic, drawing from s- eral ?elds including expert systems, machine learning, intelligent databases, knowledge acquisition, case-based reasoning, pattern recognition and stat- tics. Many data mining systems have typically evolved around well-organized database systems (e.g., relational databases) containing relevant information. But, more and more, one ?nds relevant information hidden in unstructured text and in other complex forms. Mining in the domains of the world-wide web, bioinformatics, geoscienti?c data, and spatial and temporal applications comprise some illustrative examples in this regard. Discovery of knowledge, or potentially useful patterns, from such complex data often requires the - plication of advanced techniques that are better able to exploit the nature and representation of the data. Such advanced methods include, among o- ers, graph-based and tree-based approaches to relational learning, sequence mining, link-based classi?cation, Bayesian networks, hidden Markov models, neural networks, kernel-based methods, evolutionary algorithms, rough sets and fuzzy logic, and hybrid systems. Many of these methods are developed in the followingchapters.-
Game Theoretic Problems in Network Economics and Mechanism Design Solutions
-
Ontological Engineering
-
Mining Software Engineering Data for Software Reuse
-
R-Trees: Theory and Applications
-
Intelligence Management
-
Secure Information Management Using Linguistic Threshold Approach
-
Hierarchical Feature Selection for Knowledge Discovery
-
Developing Multi-Database Mining Applications
-
Seriation in Combinatorial and Statistical Data Analysis
-
Uncertainty Handling and Quality Assessment in Data Mining
-
Knowledge Discovery in Multiple Databases
-
Meta-Programming and Model-Driven Meta-Program Development
-
Smart Systems for E-Health
-
Trends in Interactive Visualization
-
Business Intelligence and Performance Management
-
Privacy and Anonymity in Information Management Systems
-
Scientific Data Analysis using Jython Scripting and Java
-
Adaptive Resonance Theory in Social Media Data Clustering
-
Agent-Based Service-Oriented Computing
-
Knowledge Processing with Interval and Soft Computing
-
Learning Representation for Multi-View Data Analysis
-
Data Mining with Computational Intelligence
-
Creating Web-based Laboratories
-
Data Complexity in Pattern Recognition
-
Representation and Management of Narrative Information
-
Emergent Web Intelligence: Advanced Information Retrieval
-
Machine Learning and Data Mining for Computer Security
-
Data Mining for Social Robotics
-
Convergence and Knowledge Processing in Multi-Agent Systems
-
Artificial Intelligence and Economic Theory: Skynet in the Market
-
Understanding Information
-
Robust Representation for Data Analytics
-
Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering
Maulik, Ujjwal: - Dr. Ujjwal Maulik is a Professor in the Department of Computer Science and Engineering, Jadavpur University, Kolkata, India since 2004. He is co-author of seven books for Springer and Wiley, more than 250 research publications, and Associate Editor of IEEE Transaction on Fuzzy Systems and Information Sciences. His research interests include computational intelligence, bioinformatics, combinatorial optimization, pattern recognition, and data mining.
| SKU | Unavailable |
| ISBN 13 | 9781852339890 |
| ISBN 10 | 1852339896 |
| Title | Advanced Methods for Knowledge Discovery from Complex Data |
| Author | Ujjwal Maulik |
| Series | Advanced Information And Knowledge Processing |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer London Ltd |
| Year published | 2005-11-09 |
| Number of pages | 369 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |