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Chapter 1 Case Studies Introduction to Data Mining with Case Studies Author: G. K. Gupta Prentice Hall India, 2006
27 November 2008©GKGupta2 Case study - Aviation Wipro (a large Indian IT company) reported a study of frequent flyer data from an Indian airline. Before carrying out data mining, the data was selected and prepared. For example, it was decided to use only the three most common sectors flown by each customer and the three most common sectors when points are redeemed by each customer. It was discovered that much of the data supplied by the airline was incomplete or inaccurate. Also, it was found that the customer data captured by the company could have been more complete. For example, the airline did not know customers’ marital status or their income or their reasons for taking a journey.
27 November 2008©GKGupta3 Case Study - Astronomy Astronomers produce huge amounts of data every night on the fluctuating intensity of around 20 million stars which are classified by their spectra and their surface temperature. Some 90% of stars are called main sequence stars including some stars that are very large, very hot and blue in colour. The main sequence stars are fuelled by nuclear fusion and are very stable, lasting billions of years. Smaller main sequence stars include the Sun (star type G in the table below). There are a number of classes including stars called yellow dwarf, red dwarf and white dwarf. We show the seven major classes:
27 November 2008©GKGupta4 Different Types of Stars
27 November 2008©GKGupta5 Astronomy When a clustering program was used to group a large amount of astronomical data, four classes corresponding to stars, galaxies with bright central cores, galaxies without bright central cores and stars with a visible “fuzz” around them were found. The clustering program found meaningful results without any understanding of astronomical data.
27 November 2008©GKGupta6 Case Study – Mail Order A direct mail company held a list of large number of potential customers with a response rate of only 1%. The company wanted to improve the response rate. To carry out data mining, the company had to first prepare data, which included sampling the data to select a subset of customers including those that responded to direct mails and those that did not.
27 November 2008©GKGupta7 Case Study – Mail Order For each customer, there were more than 200 variables including basic personal information like the locality where they lived, their gender, marital status, and their buying habits including when they last responded to a mailout, what money they spent the last time they responded, and the product bought the last time.
27 November 2008©GKGupta8 Case Study – Mail Order Using the decision tree approach, the company was able to identify characteristics of customers who were more likely to respond. The company was thus able to reduce the number of customers it mailed to, thus reducing cost, while simultaneously improving the response rate.
27 November 2008©GKGupta9 Case Study 1A Inventory Control The case study reports results of using data mining in inventory control of a US pharmaceutical company Medicorp which is the largest retail distribution company with 4100 stores in 25 US states. Medicorp maintained an inventory worth almost one billion dollars to ensure that any drug required by a customer had a 95% chance of being available from any outlet of the company. To achieve this goal, the company had a rule of thumb to maintain “three weeks supply” of every drug.
27 November 2008©GKGupta10 Case Study 1A Inventory Control The study involved collecting relevant data and then carrying out some preliminary studies. Models were developed for predicting demand for various drugs. The models were not very accurate for daily predictions but were more accurate for weekly forecasts and even better for monthly forecasts.
27 November 2008©GKGupta11 Case Study 1A Inventory Control The weekly forecasting model was chosen, since that better suited the company’s need. The study concluded that the company needed to change its rule of thumb of maintaining three weeks supply of drugs. It recommended that the three weeks should be reduced for popular drugs and needed to be extended for less popular items, since large selling items can be easily replenished on a weekly basis. The company was reported to have reduced its inventory by half, resulting in considerable savings.
27 November 2008©GKGupta12 Case Study 1B Crime Prevention This case study was published in the magazine IEEE Computer in April 2004. Crime data was grouped into eight categories comprising traffic violation, sex crime, theft, fraud, arson, gang/drug offences, violent crimes and cybercrime. Some of the major crimes are included in the category violent crime, including murder, assault, armed robbery, sexual and hate crimes. The study focussed on three aspects of crime: extracting named entities from narrative reports, detecting deceptive criminal identities and identifying criminal groups and key members of the groups.
Association Rule Mining Part 1 Introduction to Data Mining with Case Studies Author: G. K. Gupta Prentice Hall India, 2006.
Astronomy Chapter Nineteen: Galaxies and the Universe 19.1 Tools of Astronomers 19.2 Stars 19.3 Galaxies and the Universe.
STARS. DISTANCES IN THE SOLAR SYSTEM Our Sun is the closest star to us. Distances in the solar system are so big that we use a large unit of measurement.
By Danny, Tiffany, and Connor. A “star” is a massive, luminous ball of plasma held together by gravity. A star forms as a collapsing cloud of material.
Characteristics of Stars. Stars… Are hot balls of plasma that shine because nuclear fusion is happening at their cores… they create their own light Have.
Unit Stars and the Universe. Stars A star is a giant, hot ball of gas. Stars generate light and heat through nuclear reactions. They are powered by the.
Birth and Death of Stars. Astronomers learn about stars by observing the electromagnetic radiation the stars emit. The most common type of telescope collects.
Galaxies The basic structural unit of matter in the universe is the galaxy A galaxy is a collection of billions of _____________, gas, and dust held together.
Stars!!!! Galaxies and the Universe too!. Stars are far away! The closest star to Earth is the sun. The next closest is Proxima Centauri If you can travel.
Stars and Galaxies. Gravitational Pull-Key Terms Mass- the amount of atoms inside an object. Mass does not change. Weight- the pull of gravity on the.
CHAPTER 8 Inventory Management © Pearson Education, Inc. publishing as Prentice Hall.
McGraw-Hill/Irwin ©2008 The McGraw-Hill Companies, All Rights Reserved CHAPTER 8 SUPPLY CHAIN MANAGEMENT.
Acct Systems Instructor: Glenn McGuigan
UNIT NINE: Matter and Motion in the Universe Chapter 26 The Solar System Chapter 27 Stars Chapter 28 Exploring the Universe.
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The Life Cycle of Stars. Stars are huge masses of gas with a massive gravitational pull that keeps the planets orbiting around them. They also give out.
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STARS By Bodin Lay. Types of Stars Main Sequence Stars - The main sequence is the point in a star's evolution during which it maintains a stable nuclear.
A. Earth’s Galaxy—and Others Galaxy: A large group of stars, gas, and dust held together by gravity. Milky Way: Our galaxy which contains about 200 billion.
The Characteristics of Stars. Classifying Stars Stars are classified by their size, temperature and brightness. The sun is neither the largest nor the.
SUPPLY CHAIN MANAGEMENT SYSTEMS Part I. 7-2 LEARNING OUTCOMES 1.List and describe the components of a typical supply chain 2.Define the relationship between.
Characteristics of Stars There are millions of stars in the universe, but they are very far apart. Because of this, distances between stars are measured.
The Expanding Universe Additional reading: Higher Physics for CfE, p Notes p.56 The radiation emitted by stellar objects can give us information.
The Life Cycle of a Star The Horsehead Nebula – one of the most famous pictures in astronomy.
Business Intelligence, Data Mining and Data Analytics/Predictive Analytics By: Asela Thomason IS 495 Summer 2015.
MERCHANDISING Merchandising means the activities involved in acquiring particular goods and/or services and making them available at the places, times,
Chapter 15 – Stars, Galaxies and the Universe. Chapter 15 – History of the Universe Section 2 – Characteristics of Stars Section 2 – Characteristics of.
Inventory Control 1 Copyright 1999 Prentice Hall Publishing Company Managing Inventory.
1Chapter 7 Marketing 7e Lamb Hair McDaniel ©2004 South-Western/Thomson Learning Segmenting and Targeting Markets Prepared by Deborah Baker Texas Christian.
Elements from Stardust. Build a Diagram Find Hydrogen 1, Hydrogen 2 and Hydrogen 3 Bohr atom models. Illustrate Find typical Helium Bohr atom models.
Characteristics of Stars. A sphere of super-hot gases Mostly Hydrogen and Helium 1 to 2 percent of a stars mass may consist of heavier elements. What.
26.2 Stars Proxima Centauri, the red star at the center, is the closest star to the sun.
Marketing In Today’s World Freshman Seminar - Introduction to Business Dr. Hays Freshman Seminar - Introduction to Business Dr. Hays.
Chapter 7- slide 1 Copyright © 2009 Pearson Education, Inc. Publishing as Prentice Hall Chapter Seven Customer-Driven Marketing Strategy Creating Value.
Properties of Main Sequence Stars Masses Luminosities Lifetimes Distribution.
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© 2008 The McGraw-Hill Companies, All Rights Reserved McGraw-Hill/Irwin Business Plug-In B8 Supply Chain Management.
February 2, 2012 In our study of Stars The students will be able to
STARS Amy Johnson. In General Stars are always in the sky, but can only be seen at night when the atmosphere is not so bright The Sun is the closet star.
When Giovanni Riccioli used a telescope like this one to observe a star in the handle of the Big Dipper, he discovered two stars that orbit each other.
THE BIG BANG This model suggests that somewhere around 13.7 billion years ago all matter in the Universe was contained in a hot, dense particle. The temperature.
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