| Type of Material: | Thesis |
| Title: | An approach for incremental data mining of multi objective association rules using soft computing techniques |
| Researcher: | Soni, Hemant Kumar |
| Guide: | Upadhyay, A K | Sharma, Sanjiv |
| Department: | Computer Science and Engineering |
| Publisher: | Amity University Madhya Pradesh |
| Place: | Gwalior |
| Year: | 2019 |
| Language: | English |
| Subject: | Data Mining | Computer Science and Applications | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Computer Science and Engineering, Amity University Madhya Pradesh, Gwalior; 2019 |
| Fulltext: | Shodhganga |
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| 005 | 2026-09-07 16:50:33 | |
| 008 | __ | 260907t2019||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_462757 |
| 040 | __ | |dIN-AhILN|aAMIT_474020 |
| 041 | __ | |aeng |
| 100 | __ | |eResearcher|aSoni, Hemant Kumar |
| 110 | __ | |aComputer Science and Engineering|0U-0604|dGwalior|bAmity University Madhya Pradesh|ein |
| 245 | __ | |aAn approach for incremental data mining of multi objective association rules using soft computing techniques |
| 260 | __ | |aGwalior|c2019|bAmity University Madhya Pradesh |
| 300 | __ | |aIX,173|dDVD |
| 502 | __ | |cComputer Science and Engineering, Amity University Madhya Pradesh, Gwalior|d2019|bPhD |
| 518 | __ | |oDate of Award|d2019 |
| 518 | __ | |d2015|oDate of Registration |
| 518 | __ | |oDate of Completion|d2019 |
| 520 | __ | |aIn Data mining, important data is extracted from a large database. It is the process of picking out relevant information from a large amount of data by using certain sophisticated algorithms. It transforms data into useful information which helps in decision making. After extensive research and inventions, data mining techniques evolve, and the journey is continuously going on. Massive amount of data is available in the data warehouses. Therefore, mining association rules help in numerous decision-making processes. Most of the researchers have considered the association rule mining problems as a single objective problem and validated on the static database. Whereas association rule mining problems is a multi-objective problem and it uses measures like support count, comprehensibility and interestingness for mining the strong association rule. The database is being updated periodically due to daily business requirement. Hence, incremental mining deals with generating association rules from the updated databa |
| 650 | __ | |aComputer Science and Applications|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aData Mining |
| 700 | __ | |aUpadhyay, A K|eGuide |
| 700 | __ | |aSharma, Sanjiv|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/270790|yShodhganga |
| 905 | __ | |afromsg |
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