11 citations · 31 across the 7 of their papers we have counts for
7 papers
Evolutionary Search in the Space of Rules for Creation of New Two-Player Board Games
Zahid Halim
Games have always been a popular test bed for artificial intelligence techniques. Game developers are always in constant search for techniques that can automatically create compute…
Introducing Partial Matching Approach in Association Rules for Better Treatment of Missing Values
Shariq Bashir, Saad Razzaq, Umer Maqbool +2
Handling missing values in training datasets for constructing learning models or extracting useful information is considered to be an important research task in data mining and kno…
Using Association Rules for Better Treatment of Missing Values
Shariq Bashir, Saad Razzaq, Umer Maqbool +2
The quality of training data for knowledge discovery in databases (KDD) and data mining depends upon many factors, but handling missing values is considered to be a crucial factor…
Fast Algorithms for Mining Interesting Frequent Itemsets without Minimum Support
Shariq Bashir, Zahoor Jan, Abdul Rauf Baig
Real world datasets are sparse, dirty and contain hundreds of items. In such situations, discovering interesting rules (results) using traditional frequent itemset mining approach…
Ramp: Fast Frequent Itemset Mining with Efficient Bit-Vector Projection Technique
Shariq Bashir, Abdul Rauf Baig
Mining frequent itemset using bit-vector representation approach is very efficient for dense type datasets, but highly inefficient for sparse datasets due to lack of any efficient…
HybridMiner: Mining Maximal Frequent Itemsets Using Hybrid Database Representation Approach
Shariq Bashir, Abdul Rauf Baig
In this paper we present a novel hybrid (arraybased layout and vertical bitmap layout) database representation approach for mining complete Maximal Frequent Itemset (MFI) on sparse…