Data Mining DM Defined Is the analysis of (often large) observational data sets to find unsuspected relationships and to summarize the data in novel ways that are both understandable and useful to the data owner Process of analyzing data from different perspectives and summarizing it into useful information A class of database applications that look for hidden patterns in a group of data that can be used to predict future behavior. DM Defined The relationships and summaries derived
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Delivering Value DELIVERING VALUE 2 y An Exploration of Community Development Vehicles DELIVERING VALUE An Exploration of Community Development Vehicles Adopted by Corporates in India Viraf Mehta • Pramod John • Anchal Kumar • Indrani Maitra Ravi Puranik • Sonia Shrivastava • Elizabeth Leff Rahul Krishna • Abdul Latheef Kizhisseri Partners in Change www.picindia.org The Asia Pacific Philanthropy Consortium www.asianphilanthropy.org 3 y Delivering Value Delivering Value An Exploration
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Telecommunications Data Issues Telecommunications have played a big role in today’s generation. Without it‚ it may be impossible for us live in a technologically-advanced world. In full gratitude to the first inventors‚ we are now able to communicate to other people to the other part of the world‚ transact a business with business partners from other nations without going out of the country. Country to country negotiation has become easier and data can be accessible anywhere. Telecommunications data has been
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Analyzing and Interpreting Data Team “A” Mona Anderson‚ Jeanine Camacho‚ Mary Hopkins QNT/351 April 25‚ 2013 John Carroll Analyzing and Interpreting Data Our team has collected‚ summarized‚ and interpreted data from the employee survey during the third and fourth weeks of investigation. Findings from the first survey reported that a second survey will be pre-tested before distribution to the employees to ensure effectiveness. The survey questions will be written differently or
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. To find the PVA‚ we use the equation: PVA = C({1 – [1/(1 + r)]t } / r ) PVA = $60‚000{[1 – (1/1.0825)9 ] / .0825} PVA = $370‚947.84 The present value of the revenue is greater than the cost‚ so your company can afford the equipment. 7. Here we need to find the FVA. The equation to find the FVA is: FVA = C{[(1 + r)t – 1] / r} FVA for 20 years = $3‚000[(1.08520 – 1) / .085] FVA for 20 years = $145‚131.04 FVA for 40 years = $3‚000[(1.08540 – 1) / .085] FVA for 40
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Introduction This report will give an overview of the aim behind collecting data‚ types of data collected‚ methods used and how the collection of the data supports the department’s practices. It will also give a brief outlook on the importance of legislation in recording‚ storing and accessing data. Why Organisations Need to Collect Data * To satisfy legal requirement: every few months there is some request from the government sector to gather‚ maintain and reports lots of information back
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Data Report and AnalysisBritnee Burleson Tyler Junior CollegeAbstract This report attempts to determine my personality type by analyzing the Type Focus assessment results in order to find out my personality type and if it is compatible with my career choice. Research generated four letter personality type‚ three main interest‚ and three work values. These results will be discussed in Method‚ Results‚ and Discussion. Data Report and AnalysisIntroduction: Starting anew at Tyler Junior College was
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Executive Summary Project Background & Objectives Rosette Wine Company Ltd. owns one winery while main business is to trade the wines produced from west coast United States. Rosette is expecting to develop a model to predict the price of wines so that they are able to build some inventory when certain wine is offered undervalue like promotion or market new entry. We‚ Analytica Inc.‚ are invited by Rosette Wine Co. Ltd. to work out that model based on the database generated by Rosette Wine together
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KNOWLEDGE AND DATA ENGINEERING‚ VOL. 23‚ NO. 1‚ JANUARY 2011 51 Data Leakage Detection Panagiotis Papadimitriou‚ Student Member‚ IEEE‚ and Hector Garcia-Molina‚ Member‚ IEEE Abstract—We study the following problem: A data distributor has given sensitive data to a set of supposedly trusted agents (third parties). Some of the data are leaked and found in an unauthorized place (e.g.‚ on the web or somebody’s laptop). The distributor must assess the likelihood that the leaked data came from
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brand values to customer value Martin Christopher Recently there has been a growing tide of articles‚ papers and even conferences devoted to the question of the future of marketing (see‚ for example Brady and Davis‚ 1993; Coopers & Lybrand‚ 1993; Mitchell‚ 1994). Essentially‚ the point at issue is whether “traditional” marketing is appropriate for the conditions that now prevail in the late twentieth century. The basic principle of marketing still applies‚ that is the focus of the business on the
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