DataGen is a test data generator is a software that can fill a database with meaningful random data to:Test the behavior of an existing customer. Database is formed through the issue of future card and card is of three types silver card‚ gold card and sakthi card. Sakthi card is issued to ladies and this card provides‚ free sugar(1 kg) per month. Customer profitability analysis (CPA) is done on the basis of transactions made through the future cards. o Platinum customers (most profitable)
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IT433 Data Warehousing and Data Mining — Data Preprocessing — 1 Data Preprocessing • Why preprocess the data? • Descriptive data summarization • Data cleaning • Data integration and transformation • Data reduction • Discretization and concept hierarchy generation • Summary 2 Why Data Preprocessing? • Data in the real world is dirty – incomplete: lacking attribute values‚ lacking certain attributes of interest‚ or containing only aggregate data • e.g.‚ occupation=“ ”
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H010: Adjustment of Emotional Score of English Boys and Hindi Girls 1 – Boys‚ 2 - Girls and 1 - English and 2 – Hindi Group Statistics | | Gender | N | Mean | Std. Deviation | Std. Error Mean | Emotional Score | Boys | 175 | 10.9829 | 3.97329 | .30035 | | Girls | 120 | 13.9750 | 5.18152 | .47301 | Independent Samples Test | | Levene’s Test for Equality of Variances | t-test for Equality of Means | | F | Sig. | t | df | Sig. (2-tailed) | Mean Difference | Std. Error Difference
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The Woodspurge The poem woodspurge uses different tools of poetry that are common in very good ways which makes a poem what is it gives it a back bone‚ a structure some might say its format or foundation but to me it is to enhance and to impasses a poem and to make it as relatable and as descriptive as possible. One of the tools used was a meter In poetry‚ meter is the basic rhythmic structure of a verse or lines in verse. Many traditional verse forms prescribe a specific verse metre‚ or a certain
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CUSTOMER SATISFACTION AND LOYALTY IN LOGISTICS SERVICES @ DHL EXPRESS (I) PVT LTD A PROJECT REPORT Submitted in Partial fulfillment of the degree of requirement for the award of MASTER OF BUSINESS ADMISTRATION (Marketing & HR) Submitted by GAURAB DUTTA Registration No: P07BA126 Under the guidance of Dr. S. Lalitha Prof. in Management Studies BHARATH UNIVERSITY SCHOOL OF MANAGEMENT STUDIES Chennai 600073 India May 2009 School of Management Studies 173‚ Agaram
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Censored data & Truncated data Censoring occurs when an observation or a measurement is outside the range and people don’ t know the certain value. The value is always above or below the range that people set. However‚ truncated data means that because of the limits‚ such as time‚ or space‚ people lose some data. Truncation is to cut off the data. In other words‚ we have collected and use the data‚ but the data is not in the range we have. It is called censored data. We don’t use the data because
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"Data Compression and Data Processing” Please respond to the following: * Explain whether or not you believe there is a discernible difference in efficiency between compressing and decompressing audio data and compressing and decompressing image data. Provide at least three reasons for your argument. There are efficiency differences between a given compressions for audio or image‚ this is due to: 1. The difference in data‚ example bmp‚ jpg‚ gif of the same image‚ mp3‚ wav‚ ogg for
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Primary Data is Original data‚ this means that it has been collected by you‚ someone who has volunteered to assist you in your research‚ or by someone who is within your employ to gather this research‚ this does not include comparing results with your peers to help evaluate the accuracy of your own results‚ as this type of data has not been gathered by you‚ or have you had any part in the gathering of this information. There are a few ways in which primary data can be obtained‚ which includes surveys
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Data Warehouse Concepts and Design Contents Data Warehouse Concepts and Design 1 Abstract 2 Abbreviations 2 Keywords 3 Introduction 3 Jarir Bookstore – Applying the Kimball Method 3 Summary from the available literature and Follow a Proven Methodology: Lifecycle Steps and Tracks 4 Issues and Process involved in Implementation of DW/BI system 5 Data Model Design 6 Star Schema Model 7 Fact Table 10 Dimension Table: 11 Design Feature: 12 Identifying the fields from facts/dimensions: MS: 12 Advanced
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Customer care Caring about your customers — and showing it through your service — gives you a high return on the time‚ effort and money you invest. Loyal customers are well worth nurturing. They buy more‚ more regularly. And the cost of selling to them is almost nil‚ whereas finding new customers is an expensive business. Satisfied customers will recommend your product to others. Dissatisfied customers will complain about you to an average of ten other customers and potential customers
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