Association Rule Mining through Matrix Manipulation using Transaction Patternbase

Shahid Kamal, Roliana Ibrahim and Zia-ud-Din


Abstract: In data mining studies, mining of frequent patterns in transaction databases has been a popular area of research. Many approaches are being used to solve the problem of discovering association rules among items in large databases. We also consider the same problem. We present a new approach for solving this problem that is fundamentally different from the known techniques. In this study, we propose a transactional patternbase where transactions with same pattern are added as their frequency is increased. Thus subsequent scanning requires only scanning this compact dataset which increases efficiency of the respective methods. We have implemented this technique by using two-dimensional matrix instead of using FP-Growth method, as used by most of the algorithms. Empirical evaluation shows that this technique outperforms the database approach, implemented with FP-Growth, in many situations and performs exceptionally well when the repetition of transaction patterns is higher. We have implemented it using Visual Basic which has substantially reduced coding and computational cost. Success of this method will open new directions.

Keywords: Association Rules, Frequent Patterns, Patternbase, Transaction Base, Matrix, Algorithm.

Seroprevalence of Mycoplasma gallisepticum Among Commercial Layers in Faisalabad, Pakistan


Abstract: Mycoplamosis is one of the most important health hazards being faced by the poultry industry of Pakistan. This study was designed to rule out the prevalence of Mycoplasma gallisepticum (MG) in layer flocks of District Faisalabad of Pakistan during a period of one year from January to December, 2010. A total of 640 sera samples were collected from 81 commercial layer flocks with complaint of respiratory distress. On the basis of serum plate agglutination test, 40 flocks were found positive for MG indicating a share of 49.01% among the respiratory diseases. Among 40 positive flocks for MG the highest prevalence (54.84 %) was found in pullets, followed by 46.34 %, and 44.44% in adult and old laying flocks, respectively. Similarly, seroprevalence was also higher (49.01%) in pullets as compared to old layers (28.71%). The disease was more prevalent in winter season (45.13 %) in comparison with the summer season (36.30 %). With respect to flocking density, the higher prevalence rate (48.11%) was recorded in flocks having high bird density as compared to those with lower one (27.27 %).

Keywords: Seroprevalence, Mycoplasmosis, Layers, Faisalabad, Pakistan.