Titlebook: Inequality and Poverty; A Short Critical Int S. Subramanian Book 2019 The Author(s), under exclusive license to Springer Nature Singapore P

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S. Subramaniane context of local search. While local search methods have proved to be very powerful, in some situations they cannot supplant complete or exact methods due to their inherent limitation: Local search methods cannot prove inconsistency or optimality..In recent years, we have seen the emergence ofan a

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S. Subramanian years. The specific problem of frequent set mining from potentially huge boolean matrices has given rise to tens of efficient solvers. Frequent sets are indeed useful for many data mining tasks, including the popular association rule mining task but also feature construction, association-based clas

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S. Subramanianlly via entity-relationship links in the design of relational database schemas. Multi-relational classification can be widely used in many disciplines including financial decision making and medical research. However, most classification approaches only work on single “flat” data relations. It is us

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S. Subramanianise definition of the constraints that define theproblem to be solved and (2) the algorithms and heuristics enablingthe selection of decisions to solve the problem. .It is because of these capabilities that Constraint Programming isincreasingly being employed as a problem-solving tool to solveschedu

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S. Subramaniantion of the constraints that define theproblem to be solved and (2) the algorithms and heuristics enablingthe selection of decisions to solve the problem. .It is because of these capabilities that Constraint Programming isincreasingly being employed as a problem-solving tool to solvescheduling probl

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S. Subramaniantion with the also-hot technology called assertion-based des.Constraint-Based Verification covers an emerging field in functional verification of electronic designs, referred to as the "constraint-based verification."  The topics are developed in the context of a wide range of dynamic and static ver