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    Financial Data Mining

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    1. Introduction Nowadays‚ more and more people participate in the stock market. Recent survey reveals that there is a tendency of increasing number of youngsters‚ especially university students‚ get involved in the trading activities. We are no exception. Similar to many other investors‚ we are interested in forecasting the stock prices by using trends‚ patterns‚ moving averages observed from historical data. However‚ there have been a certain number of people criticizing the use of past data

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    Data Mining Report

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    DATA MINING REPORT A Comparison of K-means and DBSCAN Algorithm Data Mining with Iris Data Set Using K-Means Cluster method within Weak Data Mining Toolkit. Team Task ......................................................................................................................................... 3 1.0 Introduction ................................................................................................................................. 3 2.0 Related Works ................

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    A businesses success is determined by many factors‚ such as profits gained‚ customer satisfaction‚ employee satisfaction‚ and owner satisfaction. These successes are usually the output result of effective co-operation in the workplace. However‚ there is a certain barrier that hinders the process of good co-operation‚ they are known as “resistance to change.” There are two types of resistance in organizations‚ these are known as functional resistance and dysfunctional resistance. Functional resistance

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    Data Mining Soltions

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    CS412 Assignment 2 Ref Answer Question 1: Assume a base cuboid of 10 dimensions contains only three base cells: (1) (a1‚ b2‚ c3‚ d4; ...‚ d9‚ d10)‚ (2) (a1‚ c2‚ b3‚ d4‚ ...‚ d9‚ d10)‚ and (3) (b1‚ c2‚ b3‚ d4‚ ...‚ d9‚ d10)‚ where a_i != b_i‚ b_i != c_i‚ etc. The measure of the cube is count. 1‚ How many nonempty cuboids will a full data cube contain? Answer: 210 = 1024 2‚ How many nonempty aggregate (i.e.‚ non-base) cells will a full cube contain? Answer: There will be 3 ∗ 210 − 6 ∗ 27 − 3 = 2301

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    Look at Data Mining in the Pharmaceutical Industry Topics Covered: 1) What is Data Mining and why is it used? 2) How is Data Mining used in the Pharmaceutical Industry? 3) Recent debate in the legality of Data Mining and the Pharmaceutical Industry Pharmaceutical companies are taking advantage of the growing use of technology in the healthcare arena by using data to enhance their marketing efforts and increase the quality of research and development. The process of data mining allows

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    company name] 1/1/2011 Contents Introduction 2 KNOWLEDGE MANAGEMENT VS INFORMATION MANAGEMENT 5 KNOWLEDGE MANAGEMENT CONTROVERSIES 5 POSSIBLE CONSTRAINTS IN THE IMPLEMENTATION OF A KNOWLEDGE MANAGEMENT PROGRAM 6 CASE STUDY ON THE SUCCESSFUL IMPLEMENTATION OF KM: 6 THE EVOLUTION OF KM AT BUCKMAN LABORATORIES. 6 CASE STUDY ON THE FAILURE OF KNOWLEDGE MANAGEMENT 8 ANATOMY OF A FAILED KNOWLEDGE MANAGEMENT INITIATIVE: LESSONS FROM PHARMACORP’S EXPERIENCES 8 BENEFITS OF KNOWLEDGE MANAGEMENT

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    International Journal of Computer Applications (0975 – 8887) Volume 41– No.5‚ March 2012 Data Mining Application in Enrollment Management: A Case Study Surjeet Kumar Yadav Saurabh pal Research scholar‚ Shri Venkateshwara University‚ J. P. Nagar‚ (U.P.) India Head‚ Dept. of MCA VBS Purvanchal University‚ Jaunpur‚ India ABSTRACT In the last two decades‚ number of Higher Education Institutions (HEI) grows rapidly in India. This causes a cut throat competition among these institutions

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    Data Mining Case Study

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    In 1986‚ the name of the concept was changed to Applebee’s Neighborhood Grill & Bar to reflect the Palmers’ original concept of a place people could call their own. In 1988‚ Applebee’s International‚ Inc. became the restaurant chain’s franchiser when Kansas City franchisees Abe Gustin and John Hamra purchased the rights to the Applebee’s concept from W. R. Grace. From 1993 to 2005‚ Applebee’s opened 100 or more new restaurants each year. The company estimates the development potential of the

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    1. What are the business benefits of taking the time and effort required to create and operate data warehouses such as those described in the case? Do you see any disadvantages? Is there any reason that all companies shouldn’t use data warehousing technology? Information is the most important tool when making business decisions. As O’Brien and Marakas stated‚ “Today’s business enterprises cannot survive or succeed without quality data about their internal operations and external environment.”

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    with Data Mining Abstract Banking and finance institutions are growing very fast in this globalization era. Mergers‚ acquisitions‚ globalization have made these institutions bigger. No doubt‚ the data also grow real huge and more varied. Big data storage such as data warehouse and data marts are provided to give a solution on big data storage. On the other sides‚ those data are needed to be analyzed. Business intelligence finally comes in as a solution in analyzing those huge data. Business

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