Soft Computing for Knowledge Discovery and Data Mining

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Maimon, Oded (Επιμελητής έκδοσης), Rokach, Lior (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Boston, MA : Springer US, 2008.
• Θέματα: Computer science.; Computer communication systems.; Database management.; Data mining.; Information storage and retrieval.; Artificial intelligence.; Pattern recognition.; Computer Science.; Artificial Intelligence (incl. Robotics).; Data Mining and Knowledge Discovery.; Database Management.; Information Storage and Retrieval.; Pattern Recognition.; Computer Communication Networks.

Data mining is the science and technology of exploring large and complex bodies of data in order to discover useful and insightful patterns. It is extremely important because it enables modeling and knowledge extraction from abundant data availability. Soft Computing for Knowledge Discovery and Data...

Πίνακας περιεχομένων:

• Neural Network Methods
• to Soft Computing for Knowledge Discovery and Data Mining
• Neural Networks For Data Mining
• Improved SOM Labeling Methodology for Data Mining Applications
• Evolutionary Methods
• A Review of evolutionary Algorithms for Data Mining
• Genetic Clustering for Data Mining
• Discovering New Rule Induction Algorithms with Grammar-based Genetic Programming
• evolutionary Design of Code-matrices for Multiclass Problems
• Fuzzy Logic Methods
• The Role of Fuzzy Sets in Data Mining
• Support Vector Machines and Fuzzy Systems
• KDD in Marketing with Genetic Fuzzy Systems
• Knowledge Discovery in a Framework for Modelling with Words
• Advanced Soft Computing Methods and Areas
• Swarm Intelligence Algorithms for Data Clustering
• A Diffusion Framework for Dimensionality Reduction
• Data Mining and Agent Technology: a fruitful symbiosis
• Approximate Frequent Itemset Mining In the Presence of Random Noise
• The Impact of Overfitting and Overgeneralization on the Classification Accuracy in Data Mining.