Chandrika Kamath is a researcher at Lawrence Livermore National Laboratory, where she is involved in the analysis of data from scientific simulations, observations, and experiments. Her interests include signal and image processing, machine learning, pattern recognition, and statistics, as well as the application of data mining techniques to the solution of practical problems.

• PrefaceChapter 1: IntroductionChapter 2: Data Mining in Science and EngineeringChapter 3: Common Themes in Mining Scientific DataChapter 4: The Scientific Data Mining ProcessChapter 5: Reducing the Size of the DataChapter 6: Fusing Different Data ModalitiesChapter 7: Enhancing Image DataChapter 8: Finding Objects in the DataChapter 9: Extracting Features Describing the ObjectsChapter 10: Reducing the Dimension of the DataChapter 11: Finding Patterns in the DataChapter 12: Visualizing the Data and Validating the ResultsChapter 13: Scientific Data Mining SystemsChapter 14: Lessons Learned, Challenges, and OpportunitiesBibliographyIndex.

Chandrika Kamath is a researcher at Lawrence Livermore National Laboratory, where she is involved in the analysis of data from scientific simulations, observations, and experiments. Her interests include signal and image processing, machine learning, pattern recognition, and statistics, as well as the application of data mining techniques to the solution of practical problems.

• PrefaceChapter 1: IntroductionChapter 2: Data Mining in Science and EngineeringChapter 3: Common Themes in Mining Scientific DataChapter 4: The Scientific Data Mining ProcessChapter 5: Reducing the Size of the DataChapter 6: Fusing Different Data ModalitiesChapter 7: Enhancing Image DataChapter 8: Finding Objects in the DataChapter 9: Extracting Features Describing the ObjectsChapter 10: Reducing the Dimension of the DataChapter 11: Finding Patterns in the DataChapter 12: Visualizing the Data and Validating the ResultsChapter 13: Scientific Data Mining SystemsChapter 14: Lessons Learned, Challenges, and OpportunitiesBibliographyIndex.

Chandrika Kamath is a researcher at Lawrence Livermore National Laboratory, where she is involved in the analysis of data from scientific simulations, observations, and experiments. Her interests include signal and image processing, machine learning, pattern recognition, and statistics, as well as the application of data mining techniques to the solution of practical problems.

• PrefaceChapter 1: IntroductionChapter 2: Data Mining in Science and EngineeringChapter 3: Common Themes in Mining Scientific DataChapter 4: The Scientific Data Mining ProcessChapter 5: Reducing the Size of the DataChapter 6: Fusing Different Data ModalitiesChapter 7: Enhancing Image DataChapter 8: Finding Objects in the DataChapter 9: Extracting Features Describing the ObjectsChapter 10: Reducing the Dimension of the DataChapter 11: Finding Patterns in the DataChapter 12: Visualizing the Data and Validating the ResultsChapter 13: Scientific Data Mining SystemsChapter 14: Lessons Learned, Challenges, and OpportunitiesBibliographyIndex.