background the presence of an infected family member significantly increases the risk of hbv transmission, but many socio-demographic and viral characteristics of family members affect the transmission rate. objectives in this study, we have used data mining techniques to investigate the impact of different variables in intrafamilial transmission of hbv infection. patients and methods demograph...

We employ the web-scraping technique and IMF residential property prices index methodology outlined in latest RPPI practical compilation guide to compute Nigeria’s Real Estate Price Index (RPPI). The data was scraped from one of largest real estate website Nigeria hosting ads online. A total 35,957 sales comprising 30,693 house 5,264 flat/apartment listing October 2021 2022 used for study. web ...

Sequential pattern mining and sequential rules mining are important data mining task for wide application. Its use to find frequently occurring ordered events or sub sequence as pattern from sequence database. Sequence can be called as order list of event. If one item set is completely subset of another item set is called sub sequence. Sequential pattern mining is used in various domains such a...

The excavation and production in underground mines are complicated processes which consist of many different operations. The process of underground mining is considerably constrained by the geometry and geology of the mine. The various mining operations are normally performed in series at each working face. The delay of a single operation will lead to a domino effect, thus delay the starting ti...

In data mining frequent item-sets mining is one of the important tasks. Apriori is used to mine the frequent item-sets but, Apriori also has some problem as in Apriori finding of support count is very time consuming procedure. To overcome this problem of Apriori, BitApriori algorithm is proposed for mining frequent item-sets, but the BitApriori also suffer the problem of memory scarcity when th...

Data Mining is often considered as a process of automatic discovery of new knowledge from large databases. However the role of the human within the discovery process is essential. Domain knowledge consists of information about the data that is made available by the domain experts. Such knowledge constrains the search space and enhances the performance of the mining process. We have developed an...