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Abdul Rauf Baig
- > Home > Persons > Abdul Rauf Baig
Publications
- 2016
- [j20]Shariq Bashir, Wasif Afzal, Abdul Rauf Baig:
Opinion-Based Entity Ranking using learning to rank. Appl. Soft Comput. 38: 151-163 (2016) - 2009
- [i6]Shariq Bashir, Abdul Rauf Baig:
FastLMFI: An Efficient Approach for Local Maximal Patterns Propagation and Maximal Patterns Superset Checking. CoRR abs/0904.3310 (2009) - [i5]Shariq Bashir, Abdul Rauf Baig:
HybridMiner: Mining Maximal Frequent Itemsets Using Hybrid Database Representation Approach. CoRR abs/0904.3312 (2009) - [i4]Shariq Bashir, Abdul Rauf Baig:
Ramp: Fast Frequent Itemset Mining with Efficient Bit-Vector Projection Technique. CoRR abs/0904.3316 (2009) - [i3]Shariq Bashir, Zahoor Jan, Abdul Rauf Baig:
Fast Algorithms for Mining Interesting Frequent Itemsets without Minimum Support. CoRR abs/0904.3319 (2009) - [i2]Shariq Bashir, Muhammad Saad Razzaq, Umer Maqbool, Sonya Tahir, Abdul Rauf Baig:
Using Association Rules for Better Treatment of Missing Values. CoRR abs/0904.3320 (2009) - [i1]Shariq Bashir, Muhammad Saad Razzaq, Umer Maqbool, Sonya Tahir, Abdul Rauf Baig:
Introducing Partial Matching Approach in Association Rules for Better Treatment of Missing Values. CoRR abs/0904.3321 (2009) - 2008
- [c11]Shariq Bashir, Zahid Halim, Abdul Rauf Baig:
Mining fault tolerant frequent patterns using pattern growth approach. AICCSA 2008: 172-179 - 2007
- [c8]Shariq Bashir, Abdul Rauf Baig:
Max-FTP: Mining Maximal Fault-Tolerant Frequent Patterns from Databases. BNCOD 2007: 235-246 - 2006
- [c6]Shariq Bashir, Abdul Rauf Baig:
FastLMFI: An Efficient Approach for Local Maximal Patterns Propagation and Maximal Patterns Superset Checking. AICCSA 2006: 452-459 - [c4]Shariq Bashir, Abdul Rauf Baig:
Ramp: High Performance Frequent Itemset Mining with Efficient Bit-Vector Projection Technique. PAKDD 2006: 504-508
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