As per available reports about 55 journals, 1841 Conferences, 59 workshops are presently dedicated exclusively to and about 238000 articles are being published on the current trends in data mining. In terms of research annually, USA and Europe are some of the leading countries where maximum studies related to data extraction are being carried out. As reported in “Data Mining” by Doug Alexander Data mining is a powerful new technology with great potential to help companies focus on the most important information in the data they have collected about the behaviour of their customers and potential customers. It discovers information within the data that queries and reports can't effectively reveal. Data mining, or knowledge discovery, is the computer-assisted process of digging through and analysing enormous sets of data and then extracting the meaning of the data. Data mining tools predict behaviours and future trends, allowing businesses to make proactive, knowledge-driven decisions. Data mining tools can answer business questions that traditionally were time consuming to resolve. They scour databases for hidden patterns, finding predictive information that experts may miss because it lies outside their expectations. Data mining derives its name from the similarities between searching for valuable information in a large database and mining a mountain for a vein of valuable ore. Both processes require either sifting through an immense amount of material, or intelligently probing it to find where the value resides.
The International Journal of Biomedical Data Mining (JBDM) is a scholarly open access, peer-reviewed, and fully refereed journal which publishes original research papers on valuable algorithms, methods and software tools in the fields of data mining, knowledge discovery, data analysis and machine learning, and their application to compelling biomedical, healthcare and bioinformatics problems. Contributions will come from disciplines such as computer science, engineering, statistics, biomedical informatics, science and mathematics.