Mathematical Techniques in Multisensor Data Fusion (Artech House Information Warfare Library) Review

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Mathematical Techniques in Multisensor Data Fusion (Artech House Information Warfare Library) ReviewThis is a good overall review of the subject. Contrary to what the title says, the book is very light on math. If you want to do serious work in this area, you'll need some more in depth references, but this book gets you started, and points you to the references you'll need.Mathematical Techniques in Multisensor Data Fusion (Artech House Information Warfare Library) OverviewSince the publication of the first edition of this groundbreaking book, advances in algorithms, logic, and software tools have transformed the field of data fusion. The latest edition covers these areas as well as smart agents, human computer interaction, cognitive aides to analysis, and data system fusion control. Besides aiding you in selecting the appropriate algorithm for implementing a data fusion system, this book guides you through the process of determining the trade-offs among competing data fusion algorithms, selecting commercial off the shelf (COTS) tools, and understanding when data fusion improves systems processing. Completely new chapters in this second edition explain data fusion system control, DARPAÂÂ's recently developed TRIP model, and the latest applications of data fusion in data warehousing and medical equipment, as well as defense systems.

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The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data Review

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The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data ReviewThis was one of the few books that included a very clear and extensive treatment of information extraction techniques. There were plenty of diagrams which is great for a visual learner. All the techniques are explained using both plain English and formulas, so that you can pick up the scientific notation with minimal previous knowledge.
Even when the authors plug their own company and research at the end it was moderately useful in illustrating the concepts mentioned in a real world scenario.The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data OverviewText mining tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. In addition to providing an in-depth examination of core text mining and link detection algorithms and operations, this book examines advanced pre-processing techniques, knowledge representation considerations, and visualization approaches. Finally, it explores current real-world, mission-critical applications of text mining and link detection in such varied fields as M&A business intelligence, genomics research and counter-terrorism activities.

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