,Data Reduction,data reductions

Data Reduction
Publications: 14,298| Citation Count: 47,060
Stemming Variations: data reductions
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    • Data reduction is an important issue in the field of data mining. This article describes a new method for selecting a subset of data from a large dataset. A simplified chi-square criterion is proposed for measuring the goodness-of-fit between the distributions of the reduced and full data sets. Under this criterion, the data reduction problem can be formulated as a binary quadratic program and a tabu search technique is used in the search/optimization process...

    XIAO-BAI LI. DATA REDUCTION VIA ADAPTIVE SAMPLING

    • Data reduction is a key technique in the study of xed parameter algorithms. In the AI literature, pruning techniques based on simple and ecient-to-implem ent reduction rules also play a crucial role in the success of many industrial-strength solvers. Understanding the eectiveness and the applicability of data reduction as a technique for designing heuristics for intractable problems has been one of the main motivations in studying the phase transition of randomly-generated instances of NP-complete problems...

    Yong Gao. Data reductions, fixed parameter tractability, and random weighted d-C...

    • Data reduction is a process of feature extraction that transforms the data space into a feature space of much lower dimension compared to the original data space, yet it retains most of the intrinsic information content of the data. This can be done by using a number of methods, such as principal component analysis (PCA), factor analysis, and feature clustering...

    S. M. Shamsuddinet al. Classification of reduction invariants with improved backpropagation

    • Data reduction is a basic step in a KDD process useful for delivering to successive stages more concise and meaningful data...

    Francesco Buccafurriet al. Reducing Data Stream Sliding Windows by Cyclic Tree-Like Histograms

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