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  1. International Journal of Data Analysis Techniques and Strategies
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  3. 2017 Vol.9 No.1
International Journal of Data Analysis Techniques and Strategies (IJDATS)

International Journal of Data Analysis Techniques and Strategies

2017 Vol.9 No.1


Pages Title and author(s)
1-16Software fault proneness prediction: a comparative study between bagging, boosting, and stacking ensemble and base learner methods
Mohammed Akour; Izzat Alsmadi; Iyad Alazzam
DOI: 10.1504/IJDATS.2017.083058
17-33Data quality improvement in data warehouse: a framework
Rajiv Arora; Payal Pahwa; Daya Gupta
DOI: 10.1504/IJDATS.2017.083062
34-45Variable importance index based on the partial least squares and boxplot cutoff threshold for variable selection
Noppamas Akarachantachote; Seree Chadcham; Kidakan Saithanu
DOI: 10.1504/IJDATS.2017.083063
46-62Mining frequent, maximal and closed frequent itemsets over data stream - a review
M. Jeya Sutha; F. Ramesh Dhanaseelan
DOI: 10.1504/IJDATS.2017.083068
63-74Bayesian survival analysis: comparison of survival probability of hormone receptor status for breast cancer data
Esin Avc?
DOI: 10.1504/IJDATS.2017.083061
75-98Effects of customer perception and social interactions on brand equity: automobile sector
Archana Singh
DOI: 10.1504/IJDATS.2017.083059

 

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