| Type of Material: | Thesis |
| Title: | ASSOCIATION PATTERN MINING FOR EFFICIENT GENERATION OF FREQUENT ITEMSETS IN DENGUE VIRUS TYPE1 FOR DRUG DISCOVERY USING AN INTEGRATION OF TRANSACTION REDUCTION AND RANDOM SAMPLING TRRS ALGORITHM |
| Researcher: | D.Kerana Hanirex |
| Guide: | K.P.THOOYAMANI |
| Department: | Department of Engineering and Technology(Computer Science and Engineering) |
| Publisher: | Bharath University, Chennai |
| Place: | Chennai |
| Year: | 2017 |
| Language: | English |
| Subject: | Transaction Reduction | Random Sampling | Dengue Shock Syndrome | Frequent Pattern Growth | Computer Science and Information Technology | Engineering and Technology |
| Dissertation/Thesis Note: | PhD; Department of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai; 2017; D10CS004 |
| Fulltext: | Shodhganga |
| 000 | 00000ntm a2200000ua 4500 | |
| 001 | 454452 | |
| 003 | IN-AhILN | |
| 005 | 2024-09-12 10:35:00 | |
| 008 | __ | 240912t2017||||ii#||||g|m||||||||||eng|| |
| 035 | __ | |a(IN-AhILN)th_454452 |
| 040 | __ | |aBHAU_600073|dIN-AhILN |
| 041 | __ | |aeng |
| 100 | __ | |aD.Kerana Hanirex|eResearcher |
| 110 | __ | |aDepartment of Engineering and Technology(Computer Science and Engineering)|bBharath University, Chennai|dChennai|ein |
| 245 | __ | |aASSOCIATION PATTERN MINING FOR EFFICIENT GENERATION OF FREQUENT ITEMSETS IN DENGUE VIRUS TYPE1 FOR DRUG DISCOVERY USING AN INTEGRATION OF TRANSACTION REDUCTION AND RANDOM SAMPLING TRRS ALGORITHM |
| 260 | __ | |aChennai|bBharath University, Chennai|c2017 |
| 300 | __ | |dDVD |
| 502 | __ | |bPhD|d2017|oD10CS004|cDepartment of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai |
| 518 | __ | |d2010-01-08|oDate of Registration |
| 520 | __ | |aAssociation rule mining is the emerging research area in data mining. The challenge in association pattern mining is finding an efficient algorithm to generate frequent item sets. Apriority and FP Growth algorithms are the well-known algorithm for Association Rule Mining (ARM). Apriority algorithm requires large number of database scans and support counting depends on the largest frequent item sets. In FP Growth algorithm, FP Tree may not be fit into memory and it is very expensive to build. In this research, we propose an integration of Transaction Reduction and Random Sampling approach to identify the frequent patterns in Dengue Virus Type1 amino acid sequence. This system reveals the association between the amino acids. Our research first identifies the number of amino acid sequences suitable for each transaction then it finds the number of association rules using Transaction Reduction and Random Sampling (TRRS) algorithm by varying the sample size which integrates Two Dimensional Transaction Reduction ( |
| 650 | __ | |aComputer Science and Information Technology|2UGC |
| 650 | __ | |aEngineering and Technology|2AIU |
| 653 | __ | |aTransaction Reduction |
| 653 | __ | |aRandom Sampling |
| 653 | __ | |aDengue Shock Syndrome |
| 653 | __ | |aFrequent Pattern Growth |
| 700 | __ | |aK.P.THOOYAMANI|eGuide |
| 856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/170865|yShodhganga |
| 905 | __ | |afromsg |
User Feedback Comes Under This section.