High Dimensional Big Data and Pattern Analysis: A Tutorial

Author:

Lakshminarayan Choudur K.

Publisher

Springer International Publishing

Reference18 articles.

1. Committee on the Analysis of Massive Data, Frontiers in Massive Data Analysis. National Academies Press (2013)

2. Shalizi, C.R.: Advanced Data Analysis from an Elementary Point of View (2013), http://www.stat.cmu.edu/~cshalizi

3. Johnson, R.A., Wichern, D.W.: Applied Multivariate Statistical Analysis, 3rd edn. Prentice Hall, Englewood Cliffs (1992)

4. Hotelling, H.: Relations Between Two Sets of Variables. Biometrika 28, 321–377 (1936)

5. Mood, A.M., Graybill, F.A., Boes, D.C.: Introduction to the Theory of Statistics, 3rd edn. McGraw-Hill (1974)

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2. Lightweight Feature Selection Methods Based on Standardized Measure of Dispersion for Mining Big Data;2016 IEEE International Conference on Computer and Information Technology (CIT);2016-12

3. WITHDRAWN: Sentiment prediction by text mining medical documents using optimized swarm search-based feature selection;Computerized Medical Imaging and Graphics;2016-08

4. Optimized Swarm Search-Based Feature Selection for Text Mining in Sentiment Analysis;2015 IEEE International Conference on Data Mining Workshop (ICDMW);2015-11

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