background family planning (fp) program in pakistan has been struggling to achieve the desired indicators. despite a well-timed initiation of the program in late 50s, fertility decline has been sparingly slow. as a result, rapid population growth is impeding economic development in the country. a high population growth rate, the current fertility rate, a stagnant contraceptive prevalence rate a...

A fusion protein, FP 6/3, composed of IGF binding protein (IGFBP)-6 and IGFBP-3 was synthesized where the complete sequences of each binding protein were fused together into a single chimeric protein. The orientation of this fusion protein's structure has the N terminus of IGFBP-3 fused to the C terminus of IGFBP-6, leaving the key binding areas of each open. FP 6/3 bound to cells via its IGFBP...

Since the amount of text data stored in computer repositories is growing every day, we need more than ever a reliable way to group or categorize text documents. Most of the existing document clustering techniques use a group of keywords from each document to cluster the documents. In this thesis, we have used a sense based approach to cluster documents instead of using only the frequency of the...

Since the amount of text data stored in computer repositories is growing every day, we need more than ever a reliable way to group or categorize text documents. Most of the existing document clustering techniques use a group of keywords from each document to cluster the documents. In this thesis, we have used a sense based approach to cluster documents instead of using only the frequency of the...

In this paper, we propose a new version of FP-Growth algorithm to find association rules. In this version, we vary the minsup value from one level to another. This variation is made in two cases: increasing and decreasing the minsup value. We performed a set of experiments to validate the usefulness of our proposition in the generation of association rules process.

Background Family Planning (FP) program in Pakistan has been struggling to achieve the desired indicators. Despite a well-timed initiation of the program in late 50s, fertility decline has been sparingly slow. As a result, rapid population growth is impeding economic development in the country. A high population growth rate, the current fertility rate, a stagnant contraceptive prevalence rate a...

Association rule mining is used to find association relationships among large data sets. Mining frequent patterns is an importantaspect in association rule mining. In this paper, an algorithm named Apriori-Growth based on Apriori algorithm and the FP-tree structure is presented to mine frequent patterns. The advantage of the Apriori-Growth algorithm is that it doesn’t need to generate condition...

Discovering frequent itemsets is an essential task in association rules mining and it is considered to be computationally expensive. To find the frequent itemsets, the algorithm of frequent pattern growth (FP-growth) is one of the best algorithms for mining frequent patterns. However, many experimental results have shown that building conditional FP-trees during mining data using this FP-growth...