A Pattern Storage System using Pattern Warehouse along with Sources of Pattern Generation and Applications
Khedekar Vilas Baburao1, Dharmendra Singh Rajput2
1Khedekar Vilas Baburao, Research Scholar, School of Computer Science and Engineering (SCOPE), VIT University, Vellore,India.
2Dr. Dharmendra Singh Rajput , Associate Professor in the Software and Systems Engineering, SITE, VIT, Vellore, India.
Manuscript received on 05 September 2019 | Revised Manuscript received on 29 September 2019 | Manuscript Published on 29 June 2020 | PP: 357-362 | Volume-8 Issue-10S2 August 2019 | Retrieval Number: J10630810S19/2019©BEIESP | DOI: 10.35940/ijitee.J1063.08810S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Now a day different data mining algorithms are ready to create the specific set of data known as Pattern from a huge data repository, but there is no infrastructure or system to save it as persistent storage for the generated patterns. Pattern warehouse presents a foundation to make these patterns safe in the specific environment for long term use. Most organizations are excited to know the information or patterns rather than raw data or group of unprocessed data. Because extracted knowledge play a vital role to take right decision for the growth of an organization. We have examined the sources of patterns generated from large data sets. In this paper, we have presented little importance on the application area of pattern and idea of patter warehouse, the architecture of pattern warehouse then correlation between data warehouse and data mining, association between data mining and pattern warehouse, critical evaluation between existing approaches which theoretically published and more stress on association rule related review elements. In this paper, we analyze the patterns warehouse, data warehouse concerning various factors like storage space, type of storage unit, characteristics, and provide several research domains.
Keywords: Data Warehouse, Data Mining, Pattern Warehouse.
Scope of the Article: Computer Science and Its Applications