TY  - JOUR
TI  - Frequent Itemset Mining Using Transaction Splitting
AU  - Vasifa Iqbal Mujawar
AU  -  Sonali Baliram Goral
AU  -  Shruti Sharad Patil
AU  -  Shivali  Yuvaraj Sawant
AU  -  Teja Suresh Chandanshive
JO  - International Journal of Scientific Research in Computer Science, Engineering and Information Technology
PB  - Technoscience Academy
DA  - 2017/04/30
PY  - 2017
DO  - https://doi.org/10.32628/IJSRCSEIT
UR  - https://ijsrcseit.com/CSEIT172235
VL  - 2
IS  - 2
SP  - 116	
EP  - 117
AB  - Frequent itemsets mining (FIM) is a popular data mining technique and used in many important data mining tasks. To provide high data utility and privacy a new system is proposed in this paper which is divided into two phases. First phase takes database as an input, which consists of multiple transactions performed by different users, uses smart splitting method to limit the length of each transaction, and creates transformed database. Using this transformed database and threshold value next phase generates frequent itemsets.