• 1S.Baskaran
• 2T.SASIREKHA

Construction equipment management and performance data are valuable assets for large contractors that need such historical data for decision making about resource allocation and equipment replacement; however, with large amounts of accumulated data, traditional data analysis based on a transactional system becomes increasingly inefficient. Due to increase in data complexity and manageability issues, data warehousing has attracted a great deal of interest in real life applications especially in business, finance, healthcare and industries. As the importance of retrieving the information from knowledge-base cannot be denied, data warehousing is all about making the information available for decision making. It can help to get better answers which allow both technical and nontechnical users to make much better decisions. Practically, data warehousing and data mining is really useful for any organization which has huge amount of data. Data warehousing and data mining help regular (operational) databases to perform faster. They also help to save millions of dollars and increase the profit, because of the correct decisions made with the help of data mining. A variant dimension of modeling techniques was used to enhance the DW schemas in order to accommodate the requirements of mobile characteristics in the DW design. A proposed mobile DW system was evaluated by expert review, and support the success of mobile DW-based application implementation.

Data warehouse applications; Decision support systems; OLAP; Preference based

"DATA WAREHOUSE IN WEB-ENABLED DATA MINING FOR MOBILE-BASED APPLICATIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.176-180, June 2019, Available :http://www.jetir.org/papers/JETIR1908027.pdf

"DATA WAREHOUSE IN WEB-ENABLED DATA MINING FOR MOBILE-BASED APPLICATIONS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp176-180, June 2019, Available at : http://www.jetir.org/papers/JETIR1908027.pdf