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ORCIDShariq Bashir
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2020 – today
- 2023
[j20]Shariq Bashir
, Akmal Saeed Khattak:
Private Web Search Using Proxy-Query Based Query Obfuscation Scheme. IEEE Access 11: 3607-3625 (2023)- 2022
- [j19]Shariq Bashir, Daphne Teck Ching Lai, Owais Ahmed Malik:
Proxy-Terms Based Query Obfuscation Technique for Private Web Search. IEEE Access 10: 17845-17863 (2022) - 2021
- [j18]Shariq Bashir, Daphne Teck Ching Lai:
Mining Approximate Frequent Itemsets Using Pattern Growth Approach. Inf. Technol. Control. 50(4): 627-644 (2021) - 2020
- [j17]Shariq Bashir:
An efficient pattern growth approach for mining fault tolerant frequent itemsets. Expert Syst. Appl. 143 (2020)
2010 – 2019
- 2019
- [j16]Shariq Bashir:
Broken link repairing system for constructing contextual information portals. J. King Saud Univ. Comput. Inf. Sci. 31(2): 147-160 (2019) - 2017
- [j15]Shariq Bashir:
Ranking entities on the basis of users' opinions. Multim. Tools Appl. 76(1): 59-81 (2017) - 2016
- [j14]Zahid Halim, Rizwana Kalsoom, Shariq Bashir, Ghulam Abbas:
Artificial intelligence techniques for driving safety and vehicle crash prediction. Artif. Intell. Rev. 46(3): 351-387 (2016) - [j13]Shariq Bashir, Wasif Afzal, Abdul Rauf Baig:
Opinion-Based Entity Ranking using learning to rank. Appl. Soft Comput. 38: 151-163 (2016) - [j12]Shariq Bashir:
An Improved Retrievability-Based Cluster-Resampling Approach for Pseudo Relevance Feedback. Comput. 5(4): 29 (2016) - [j11]Syed Fawad Hussain, Shariq Bashir:
Co-clustering of multi-view datasets. Knowl. Inf. Syst. 47(3): 545-570 (2016) - 2015
- [j10]Sanam Noor, Shariq Bashir:
Evaluating bias in retrieval systems for recall oriented documents retrieval. Int. Arab J. Inf. Technol. 12(1): 53-59 (2015) - [j9]Changez Khan, Sajid Anwar, Shariq Bashir, Abdul Rauf, Adnan Amin:
Site selection for food distribution using rough set approach and TOPSIS method. J. Intell. Fuzzy Syst. 29(6): 2413-2419 (2015) - 2014
- [j8]Shariq Bashir:
Combining pre-retrieval query quality predictors using genetic programming. Appl. Intell. 40(3): 525-535 (2014) - [j7]Shariq Bashir:
Estimating retrievability ranks of documents using document features. Neurocomputing 123: 216-232 (2014) - [j6]Shariq Bashir, Akmal Saeed Khattak:
Producing efficient retrievability ranks of documents using normalized retrievability scoring function. J. Intell. Inf. Syst. 42(3): 457-484 (2014) - [j5]Shariq Bashir, Andreas Rauber:
Automatic ranking of retrieval models using retrievability measure. Knowl. Inf. Syst. 41(1): 189-221 (2014) - [c11]Sadaf Khurshid, Sharifullah Khan, Shariq Bashir:
Text-Based Intelligent Content Filtering on Social Platforms. FIT 2014: 232-237 - 2012
- [j4]Shariq Bashir:
Improving retrievability with improved cluster-based pseudo-relevance feedback selection. Expert Syst. Appl. 39(8): 7495-7502 (2012) - [j3]Shariq Bashir:
Evaluating retrieval models using retrievability measurement. SIGIR Forum 46(1): 81 (2012) - 2011
- [j2]Shariq Bashir, Andreas Rauber:
On the relationship between query characteristics and IR functions retrieval bias. J. Assoc. Inf. Sci. Technol. 62(8): 1515-1532 (2011) - 2010
- [j1]Shariq Bashir, Andreas Rauber:
Improving Retrievability and Recall by Automatic Corpus Partitioning. Trans. Large Scale Data Knowl. Centered Syst. 2: 122-140 (2010) - [c10]Shariq Bashir, Andreas Rauber:
Improving Retrievability of Patents in Prior-Art Search. ECIR 2010: 457-470
2000 – 2009
- 2009
- [c9]Shariq Bashir, Andreas Rauber:
Identification of low/high retrievable patents using content-based features. PaIR@CIKM 2009: 9-16 - [c8]Shariq Bashir, Andreas Rauber:
Improving retrievability of patents with cluster-based pseudo-relevance feedback documents selection. CIKM 2009: 1863-1866 - [c7]Shariq Bashir, Andreas Rauber:
Analyzing Document Retrievability in Patent Retrieval Settings. DEXA 2009: 753-760 - [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
- [c6]Shariq Bashir, Zahid Halim, Abdul Rauf Baig:
Mining fault tolerant frequent patterns using pattern growth approach. AICCSA 2008: 172-179 - [c5]Zahoor Jan, Muhammad Abrar, Shariq Bashir, Anwar M. Mirza:
Seasonal to Inter-annual Climate Prediction Using Data Mining KNN Technique. IMTIC 2008: 40-51 - [c4]Hong Linh Truong, Lukasz Juszczyk, Shariq Bashir, Atif Manzoor, Schahram Dustdar:
Vimoware - A Toolkit for Mobile Web Services and Collaborative Computing. EUROMICRO-SEAA 2008: 366-373 - 2007
- [c3]Shariq Bashir, Abdul Rauf Baig:
Max-FTP: Mining Maximal Fault-Tolerant Frequent Patterns from Databases. BNCOD 2007: 235-246 - 2006
- [c2]Shariq Bashir, Abdul Rauf Baig:
FastLMFI: An Efficient Approach for Local Maximal Patterns Propagation and Maximal Patterns Superset Checking. AICCSA 2006: 452-459 - [c1]Shariq Bashir, Abdul Rauf Baig:
Ramp: High Performance Frequent Itemset Mining with Efficient Bit-Vector Projection Technique. PAKDD 2006: 504-508
Coauthor Index
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