Lovely professional university CASE STUDY OF DATA MINING Summitted by Jatin Sharma Roll no -32. Reg. no 10802192 A case study in Data Warehousing and Data mining Using the SAS System. Data Warehouses The drop in price of data storage has given companies willing to make the investment a tremendous resource:
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Data Mining: What is Data Mining? Overview Generally‚ data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information - information that can be used to increase revenue‚ cuts costs‚ or both. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles‚ categorize it‚ and summarize the relationships identified
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Chapter 1 Exercises 1. What is data mining? In your answer‚ address the following: Data mining refers to the process or method that extracts or \mines" interesting knowledge or patterns from large amounts of data. (a) Is it another hype? Data mining is not another hype. Instead‚ the need for data mining has arisen due to the wide availability of huge amounts of data and the imminent need for turning such data into useful information and knowledge. Thus‚ data mining can be viewed as the result of the
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Introduction to Adit Mining Adit mining is a method of extract minerals from earth horizontally. An adit is a type of entrance to an underground mine which is horizontal or nearly horizontal. Adits are usually built into the side of a hill or Mountain‚ and often occur when a measure of coal or an ore body is located inside the mountain but above the adjacent valley floor or coastal plain. In cases where the mineral vein outcrops at the surface‚ the adit may follow the vein until it is worked
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4 Components of DSS (Decision Support System) Data Store – The DSS Database Data Extraction and Filtering End-User Query Tool End User Presentation Tools Operational Stored in Normalized Relational Database Support transactions that represent daily operations (Not Query Friendly) Differences with DSS 3 Main Differences Time Span Granularity Dimensionality Operational DSS Time span Real time Historic Current transaction Short time frame Long time frame Specific Data facts Patterns Granularity
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PHILIPPINE MINING LAW What is mining? Mining is the extraction (removal) of minerals and metals from earth. Manganese‚ tantalum‚ cassiterite‚ copper‚ tin‚ nickel‚ bauxite (aluminum ore)‚ iron ore‚ gold‚ silver‚ and diamonds are just some examples of what is mined. Why mine? Mining is a money making business. Not only do mining companies prosper‚ but governments also make money from revenues. Workers also receive income and benefits. History of Mining in the Philippines First Mining Law: Spanish
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Data Mining On Medical Domain Smita Malik‚ Karishma Naik‚ Archa Ghodge‚ Shivani Gaunker Shree Rayeshwar Institute of Engineering & Information Technology Shiroda‚ Goa‚ India. Smilemalik777@gmail.com; naikkarishma39@gmail.com; archaghodge@gmail.com; shivanigaunker@gmail.com Abstract-The successful application of data mining in highly visible fields like retail‚ marketing & e-business have led to the popularity of its use in knowledge discovery in databases (KDD) in other industries
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GOLD FLUCTUATION AND ITS IMPACT ON INDIAN ECONOMY INTRODUCTION History of gold International monetary system - gold or silver as a means of exchange. Gold is one of the most valuable economic indicators. Gold’s price elasticity is negative. Rising gold prices can change destiny of many unprofitable mines and turn them into a very successful business. Gold is a safe investment. Gold prices have been determined more by landed costs and by the rupee-dollar exchange rate. Factors affecting gold
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Introduction to Data Mining Assignment 1 Ex1.1 what is data mining? (a) Is it another hype? Data mining is Knowledge extraction from data this need for data mining has arisen due to the wide availability of huge amounts of data and the imminent need for turning such data into useful information and knowledge. So‚ data mining definitely is not another hype it can be viewed as the result of the natural evolution of information technology. (b) Is it a simple transformation of technology developed
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Data Mining DeMarcus Montgomery Dr. Janet Durgin CIS 500 June 9‚ 2013 Determine the benefits of data mining to the businesses when employing 1. Predictive analytics to understand the behavior of customers Predictive analytics is business intelligence technology that produces a predictive score for each customer or other organizational element. Assigning these predictive scores is the job of a predictive model‚ which has‚ in turn been trained over your data‚ learning from the experience
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