Classification and Clustering for Knowledge Discovery

Cluster analysis Wikipedia Thu, 22 Nov 2018 21:26:00 GMT Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense) to each other than to those in other groups (clusters).It is a main task of exploratory data mining, and a common technique for statistical data analysis, used in many fields, including machine learning, pattern recognition ... k-means clustering Wikipedia Wed, 21 Nov 2018 11:26:00 GMT A Data Science Big Mechanism for DARPA Semanticommunity.info 6 Classification Schemes Hinkelmann Fri, 23 Nov 2018 18:26:00 GMT Prof. Dr. Knut Hinkelmann 6 Classification Schemes 3 Classification Classification is an organization means arranging information items into classes dividing the universe of information into manageable and logical portions. A class or category is a group of concepts that have something in common. This shared property gives the class its identity. About the Tutorial Thu, 22 Nov 2018 07:43:00 GMT Data Mining i About the Tutorial Data Mining is defined as the procedure of extracting information from huge sets of data. In other words, we can say that data mining is mining knowledge from data. Introduction to Data Mining www-users.cs.umn.edu Tue, 20 Nov 2018 20:38:00 GMT Anomaly Detection: Anomaly detection has been greatly revised and expanded. Existing approaches—statistical, nearest neighbor/density-based, and clustering based—have been retained and updated, while new approaches have been added: reconstruction-based, one-class classification, and information-theoretic.