The document provides instructions for submitting a research article on a topic related to data mining or data warehousing. It outlines 7 sections that must be included: 1) a 1-page introduction of the selected topic, 2) a summary of other related research, 3) applications of the topic with models or diagrams, 4) research findings displayed with tables/charts/graphs, 5) a 1-2 paragraph summary, 6) references in IEEE format. The submission must follow the IEEE single column format.

1. first select one topic about Data Mining or Data warehouse
submit a research article on the topic related to Data Mining or Data warehouse.
1-write at least one page introduction of the topic that you have selected in your own words. The
introduction should explain the topic in simple English. YOU CAN ADD DIAGRAM
2-summary of other research related to the topic.have to be some journal papers or conference
proceedings
3-If you want to use more than 3-4 of the author's words, then use quotation marks, and add
reference of the article
4-introduce and explain major applications of the topic, which are currently in use. You can use
models or diagrams to explain these applications
5-State research findingsdisplayed using tables, charts, graphs or figures along with a written
explanation.
6-one-two paragraph summary of your whole research in your own words.
7-give proper references of the literature that you have presented in section
you have to write one-two paragraph summary of your whole research in your own words. F.
References: In this section, you have to give proper references of the literature that you have
presented in section B. The format that you will use for writing references is IEEE format. The
document format that you have to follow for this assignment is IEEE single column format for
conference papers. This format is available on the following link;
www.ece.utah.edu/~ece1270/_IEEE_Template_1col_2sp.doc
Solution
Here I am going to explain about data warehouse.
Data ware housing is an approach that accomplish the goals on huge amount of electronic data
stored in recent years . As per oracle web site a data warehouse is “a database designed to enable
business intelligence activities: it exists to help users understand and enhance their
organization's performance.” A data warehouse is constructed by integrating data from multiple
heterogeneous sources.
It has some limitations ETL (Extraction, Transaction & Limitation). For example in a typical
scenario, a large corporation has many branches, managing people need to evaluate the each
branch performance at that time it is useful. In order to meet managing people needs data ware
house provides tailor made queries that can perfectly fit for their needs.
In addition to a relational database a data ware house environment includes a transportation,
extraction, and loading solution, statistical analysis reporting, and data mining capabilities. Data

2. warehousing and OLTP are distinct to each other. Data warehouse helps us to analysis workload
of both analysis workload and transaction workload.
Characteristics of data warehouse:
Typically a data warehouse can perform the below tasks