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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Ant-Based Data Reduction Algorithm for Classification |
| Authors Name: | Prof. Svapnil Vakharia , Prof. Mansi Shah , Kajal Mengar |
| Unique Id: | IJSDR1602012 |
| Published In: | Volume 1 Issue 2, February-2016 |
| Abstract: | Data reduction is the process of minimizing the amount of data that needs to be stored in a data storage environment. Data reduction can increase storage efficiency and reduce costs.It also decreases size of the training set presented to the algorithm by keeping only the most representative instances. In this paper, we introduce ADR-Miner with c4.5 and attribute selected classifier, novel data reduction algorithm that utilizes ant colony optimization (ACO). ADR-Miner is designed to perform instance selection to improve the predictive effectiveness of the constructed classification models. Empirical evaluations on 20 benchmark data sets with three well-known classification algorithms show that ADR-Miner improves the predictive quality of the produced classifiers. |
| Keywords: | Ant Colony Optimization (ACO), Data Mining,Classification, Data Reduction, Instance Selection. |
| Cite Article: | "Ant-Based Data Reduction Algorithm for Classification", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 2, page no.68 - 72, Feb-2016, Available :http://www.ijsdr.org/papers/IJSDR1602012.pdf |
| Downloads: | 000337211 |
| Publication Details: | Published Paper ID: IJSDR1602012 Registration ID:160018 Published In: Volume 1 Issue 2, February-2016 DOI (Digital Object Identifier): Page No: 68 - 72 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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