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Data Mining for Scientific and Engineering Applications - (??) Authors Robert Grossman, Chandrika Kamath, Vipin Kumar Language English Type public Url Summary Chapter 1 - Introduction. What are some model problems? What are the challenges? What is the data mining process? Pages 26 Parts Introduction and Examples Challenges The Data Mining Process

Data Mining for Scientific and Engineering Applications - (??) Authors Robert Grossman, Chandrika Kamath, Vipin Kumar Language English Type public Url Summary Chapter 2 - Classification and Regression. What are the three basic algorithms in data mining? Importance of cleaning data. Importance of derived attributes. What is a consistent classifier? Pages 45 Parts Nearest Neighbor Learning Cluster-based Learning Trees Neural Networks Derived Attributes

Data Mining for Scientific and Engineering Applications - (??) Authors Robert Grossman, Chandrika Kamath, Vipin Kumar Language English Type public Url Summary Chapter 3 - Clustering Algorithms Pages 64 Parts K-means Clustering Hierarchical Clustering Graph Based Clustering Scalability Other Clustering Techniques

Data Mining for Scientific and Engineering Applications - (??) Authors Robert Grossman, Chandrika Kamath, Vipin Kumar Language English Type public Url Summary Chapter 4 - Association Rules Pages 30 Parts Serial Association Rule Discovery Apriori Algorithm Parallel Algorithms Count Distribution, Data Distribution Intelligent Data Distribution, Hybrid Distribution Experimental Results

Data Mining for Scientific and Engineering Applications - (??) Authors Robert Grossman, Chandrika Kamath, Vipin Kumar Language English Type public Url Summary Chapter 5 - General Case Studies: Applying Data Mining to Scientific Data Pages 31 Parts Astronomy, Astrophysics Remote Sensing Bio-informatics Medical Imaging Chemistry Security and Surveillance High Energy Physics Computer Simulations Atmospheric Sciences Computer Vision, Robotics

Data Mining for Scientific and Engineering Applications - (??) Authors Robert Grossman, Chandrika Kamath, Vipin Kumar Language English Type public Url Summary Chapter 6 - Specific Case Study: Searching for Bent-double Galaxies Pages 17 Parts

Data Mining for Scientific and Engineering Applications - (??) Authors Robert Grossman, Chandrika Kamath, Vipin Kumar Language English Type public Url Summary Chapter 7 - Preparing Scientific and Engineering Data for Mining. Preprocessing Pages 50 Parts

Data Mining for Scientific and Engineering Applications - (??) Authors Robert Grossman, Chandrika Kamath, Vipin Kumar Language English Type public Url Summary Chapter 8 - Case Studies in Earth Science Data Pages 46 Parts

Data Mining for Scientific and Engineering Applications - (??) Authors Robert Grossman, Chandrika Kamath, Vipin Kumar Language English Type public Url Summary Chapter 9 - Case Studies in Scientific Simulation Data Pages 44 Parts

Data Mining for Scientific and Engineering Applications - (??) Authors Robert Grossman, Chandrika Kamath, Vipin Kumar Language English Type public Url Summary Chapter 10 - Data Mining Sytems. What are the four critical interfaces in a data mining system? Is data mining about rows or columns? What are the standards in data mining? What data mining systems are available? Pages 44 Parts Overview of Data Mining Systems Case Study Using a System Managing Data for Data Mining Data Mining Standards Commercial and Open Source Systems

Data Mining for Scientific and Engineering Applications - (??) Authors Robert Grossman, Chandrika Kamath, Vipin Kumar Language English Type public Url Summary References Pages 7 Parts