Titlebook: Challenges in Computational Statistics and Data Mining; Stan Matwin,Jan Mielniczuk Book 2016 Springer International Publishing Switzerland

热心

Dealing with Data Difficulty Factors While Learning from Imbalanced Data,which deteriorate classification performance: decomposition of the minority class into rare sub-concepts, overlapping of classes and distinguishing different types of examples. New experimental studies showing the influence of these factors on classifiers are presented. The paper also includes criti

狂热文化

Personal Privacy Protection in Time of Big Data,howcase of advantages and challenges of Big Data phenomenon. Accumulation of massive data volumes combined with development of intelligent Data Mining algorithms allows more data being analysed and linked. Unintended consequences of Big Data analytics include increasing risks of discovery new inform

切割

Data Based Modeling,e tests under the assumption of conditions that do not actually exist. There is another approach: we can use the data to build models. This is the goal of Tukey’s “Exploratory Data Analysis.” In this paper I will be examining alternatives to the Neoclassical Analysis of the stock market, the dominan

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美丽的写

Long Bone and Extremity Radiographs, probabilities. The second estimator provides a lower bound of block entropy for any strictly stationary process with the distributions of blocks skewed towards less probable values. Using this estimator, some estimates of block entropy for natural language are obtained, confirming earlier hypotheses.

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General Principles of Managementtable estimate . of . achieves better rate of convergence than the estimate based on order statistics alone. Similar results are given for Robbins-Monro type recursive importance sampling and for quantile estimation based on surrogate model.

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灰心丧气

Estimation of Entropy from Subword Complexity, probabilities. The second estimator provides a lower bound of block entropy for any strictly stationary process with the distributions of blocks skewed towards less probable values. Using this estimator, some estimates of block entropy for natural language are obtained, confirming earlier hypotheses.

罐里有戒指

Recent Results on Nonparametric Quantile Estimation in a Simulation Model,table estimate . of . achieves better rate of convergence than the estimate based on order statistics alone. Similar results are given for Robbins-Monro type recursive importance sampling and for quantile estimation based on surrogate model.

fulmination

Dealing with Data Difficulty Factors While Learning from Imbalanced Data,fferent types of examples. New experimental studies showing the influence of these factors on classifiers are presented. The paper also includes critical discussions of methods for their identification in real world data. Finally, open research issues are stated.