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Write a report on given papers and connections between the three papers
1. 1 Report on Paper 1, 2, 3.
A two-page summary of the each paper.
2. Connections between the three papers
Here you will discuss connections, similarities, shared issues, discrepancies, possible combinations of problems and techniques from the three papers, etc. Whatever you consider relevant, but with reasons and referring to the papers if necessary. You may cite other papers as well. This is expected to be your own personal elaboration or take on the combination of the three papers.
Two pages at most.
The assume pages might be 16 pages in word document. Because the report required using LATEX as the editer.
 Surajit Chaudhuri, Umeshwar Dayal, Vivek R. Narasayya. An Overview of Business Intelligence Technology. Communications of the ACM, 2011, 54(8):88-98.
 Pedro Domingos. A Few Useful Things to Know About Machine Learning. Communications of the ACM, 2012, 55(10):78-87.
 Vasant Dhar. Data Science and Prediction. Communications of the ACM, 2013,56(12):64-73.
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According to Surajit Chaudhuri, Business Intelligence (BI) is the collection of technologies by which decisions taken by the organization become easy. The empowering learning employees eg: administrators, directors, and investigators to settle on better and quicker choices. There was the explosive development since last two decades in the quantity of items and administrations offered and in the appropriation of these advances by industry. This development has been filled by the declining expense of gaining and putting away a lot of information emerging from sources like client exchanges in keeping money, retail and also in e-organizations, RFID labels for stock following, email, and question logs for Web locales, web journals, and item surveys.The ventures today gather information at a better granularity, which is consequently of much bigger volume. Organizations are deploying so as to utilize their information resource forcefully and trying different things with more modern information investigation systems to drive business choices and convey new usefulness, for example, customized offers and administrations to clients. Today, it is hard to locate the fruitful undertaking that has not utilized BI innovation for its business.BI brings together, compose, and institutionalize data in storehouses, for example, data server rooms and the data warehouse. This can include cleaning the information and adding extra information. It give explanatory tools that permit the wide scope of business and specialized authorities to run inquiries against the information to reveal designs and analyze issues.
The information on which BI projects are performed is stacked into a vault which is known as the information distribution center that is overseen by one or more data servers. One of the few engines which is used for data storage as well as querying is called Relational Database Management System or RDBMS. In the course of recent decades, a few information structures, enhancements, and inquiry preparing systems have been produced principally to execute complex SQL queries over extensive volumes of information is the key prerequisite for BI. The Data Warehouse is necessary for any BI framework and is imperative for collecting, putting away, and decision support data for the organization.Data distribution center servers are supplemented by the set of mid-level servers that give particular usefulness to diverse BI situations.