arun k pujari data mining techniques university press edition 2001

... Akeel Al-Attar, 1998, Data Mining – Beyond Algorithms’, http://www.attar.com/tutor /mining. htm [2] Berry, J A Michael; Linoff, Gordon, 1997, Data Mining Techniques: For Marketing, Sales, and Customer ... on data retention and data distillation Rule induction models (Figure 2) belong to the logical, pattern distillation based approaches of data mining These technologies extract patterns from data ... the Greek shipping sector The main data set consists of 523 customers (test set: 100, training set: 423) and criteria Prediction level is quite satisfactory resulting that data mining techniques...

Ngày tải lên: 22/10/2013, 09:15

... Akeel Al-Attar, 1998, Data Mining – Beyond Algorithms’, http://www.attar.com/tutor /mining. htm [2] Berry, J A Michael; Linoff, Gordon, 1997, Data Mining Techniques: For Marketing, Sales, and Customer ... on data retention and data distillation Rule induction models (Figure 2) belong to the logical, pattern distillation based approaches of data mining These technologies extract patterns from data ... the Greek shipping sector The main data set consists of 523 customers (test set: 100, training set: 423) and criteria Prediction level is quite satisfactory resulting that data mining techniques...

Ngày tải lên: 11/12/2013, 23:15

... International University, Dade, Florida, USA Cleopatra Veloutsou Lecturer in Marketing at the University of Glasgow, Glasgow, UK Mark M.H Goode Lecturer in Marketing and Market Research, at Cardiff University, ... were originally derived Restaurants: Burger King, Checkers, Kentucky Fried Chicken, McDonald’s Taco Bell and Wendy’s (cross national) Questions asked by student teams to customers immediately ... and Market Research, at Cardiff University, Cardiff, UK Luiz Moutinho Foundation Chair of Marketing at the University of Glasgow, Glasgow, UK 18/01/2006 -3- Ulrich Öfele Outline of the text Aim...

Ngày tải lên: 22/12/2013, 02:17

... Opportunities Mining Customer Data The Data Mining Group Outsourcing Data Mining Outsourcing Occasional Modeling Outsourcing Ongoing Data Mining Insourcing Data Mining Building an Interdisciplinary Data Mining ... since most data miners report that transforming data takes up the majority of time in a typical data mining project Like the first edition, this book is aimed at current and future data mining practitioners ... Mining Group Building a Data Mining Group in IT Building a Data Mining Group in the Business Units What to Look for in Data Mining Staff Data Mining Infrastructure The Mining Platform The Scoring...

Ngày tải lên: 07/04/2014, 11:16

... Classification of Data Mining Systems 29 1.7 Data Mining Task Primitives 31 1.8 Integration of a Data Mining System with a Database or Data Warehouse System 34 1.9 Major Issues in Data Mining 36 vii ... Important? 1.2 So, What Is Data Mining? 1.3 Data Mining On What Kind of Data? 1.3.1 Relational Databases 10 1.3.2 Data Warehouses 12 1.3.3 Transactional Databases 14 1.3.4 Advanced Data and Information ... and Trends in Data Mining 649 11.1 Data Mining Applications 649 11.1.1 Data Mining for Financial Data Analysis 649 11.1.2 Data Mining for the Retail Industry 651 11.1.3 Data Mining for the Telecommunication...

Ngày tải lên: 08/06/2014, 11:28

... 554 KDD (knowledge discovery in databases), Kimball, Ralph (The Data Warehouse Toolkit), 474 Kleinberg algorithm, link analysis, 332–333 K- means clustering, 354–358 knowledge discovery in databases ... discussed, Data Preparation for Data Mining (Dorian Pyle), 75 The Data Warehouse Toolkit (Ralph Kimball), 474 data warehousing customer patterns, for decision support, 13 discussed, database administrators ... house-hold level data, 96 publications Building the Data Warehouse (Bill Inmon), 474 Business Modeling and Data Mining (Dorian Pyle), 60 Data Preparation for Data Mining (Dorian Pyle), 75 The Data Warehouse...

Ngày tải lên: 21/06/2014, 04:20

... data mining process is sometimes referred to as knowledge discovery or KDD (knowledge discovery in databases) We prefer to think of it as knowledge creation What Tasks Can Be Performed with Data ... Applying Data Mining BofA worked with data mining consultants from Hyperparallel (then a data mining tool vendor that has since been absorbed into Yahoo!) to bring a range of data mining techniques ... these issues Data mining can help make more informed decisions It can suggest tests to make Ultimately, though, the business needs to make the decision What Is Data Mining? Data mining, as we...

Ngày tải lên: 21/06/2014, 04:20

... direct marketing This discussion is independent of the data Data Mining Applications mining techniques used to generate the scores It is worth noting, however, that many of the data mining techniques ... Data Mining Methodology and Best Practices like Data preparation is such an important topic that our colleague Dorian Pyle has written a book about it, Data Preparation for Data Mining ... from real data min­ ing projects to show the methodology in action CHAPTER Data Mining Applications in Marketing and Customer Relationship Management Some people find data mining techniques...

Ngày tải lên: 21/06/2014, 04:20

... look at data The Lure of Statistics: Data Mining Using Familiar Tools Looking at Discrete Values Much of the data used in data mining is discrete by nature, rather than contin­ uous Discrete data ... need to be identified so the behavior of the market research participants is known Most of the directed data mining techniques discussed in this book can be used to build a classification model ... different groups Marketing is concerned with holding on to good customers and finance is concerned with reducing exposure to bad customers Data Mining Applications From a data mining point of view,...

Ngày tải lên: 21/06/2014, 04:20

... standard statistics Although data miners and The Lure of Statistics: Data Mining Using Familiar Tools statisticians use similar techniques to solve similar problems, the data mining approach differs ... in several areas: ■ ■ Data miners tend to ignore measurement error in raw data ■ ■ Data miners assume that there is more than enough data and process­ ing power ■ ■ Data mining assumes dependency ... observation does not resemble another Data mining, on the other hand, must often consider the time component of the data Experimentation is Hard Data mining has to work within the constraints of existing...

Ngày tải lên: 21/06/2014, 04:20

... recent data into the neural network One way is to take the same neural network back to training mode and start feed­ ing it new values This is a good approach if the network only needs to tweak results ... highly skewed toward the low end, and this can make it difficult for the neural network to take advantage of the income field Skewed distributions Artificial Neural Networks can prevent a network from ... Artificial Neural Networks Artificial neural networks are popular because they have a proven track record in many data mining and decision-support applications Neural networks— the “artificial”...

Ngày tải lên: 21/06/2014, 04:20

... data These patterns can be turned into new features of the data, for use in conjunction with other directed data mining techniques 347 CHAPTER 11 Automatic Cluster Detection The data mining techniques ... the lack of patterns, but the excess The data may contain so much complex structure that even the best data mining techniques are unable to coax out meaningful patterns When mining such a database ... Cluster 1B Cluster 1A 72 Towns 8 2K Subs Cluster 1AA 37 5K HH 22% Pen Cluster 1AB 50 Towns 13 7K Subs 31 3K HH 44% Pen 61 Towns 20 3K Subs 102MM HH 17% Pen 49 Towns 1 1K Subs 27 7K HH 4% Pen Figure 11.13 A...

Ngày tải lên: 21/06/2014, 04:20

... the data speak instead of finding a special function to speak for it Empirical hazard probabilities simply let the historical data determine what is likely to happen, without trying to fit data ... from smoking: The risk of leukemia for smokers is 1.53 times greater than for nonsmokers This result is a clas­ sic example of proportional hazards At the time of the study, the researchers knew ... Automatic cluster detection is an undirected data mining technique that can be used to learn about the structure of complex databases By breaking com­ plex datasets into simpler clusters, automatic...

Ngày tải lên: 21/06/2014, 04:20

... redundant Choosing a Data Mining Technique The choice of which data mining technique or techniques to apply depends on the particular data mining task to be accomplished and on the data available for ... learn, and to make incremental progress CHAPTER 18 Putting Data Mining to Work You’ve reached the last chapter of this book, and you are ready to start putting data mining to work for your company ... telemarketing, or email campaign is easily translated into dollars The best way to prove the value of data mining is with Putting Data Mining to Work A SUCCESSFUL PROOF OF CONCEPT? A data mining...

Ngày tải lên: 21/06/2014, 04:20

Ngày tải lên: 21/06/2014, 21:20

Ngày tải lên: 21/06/2014, 21:20

Ngày tải lên: 21/06/2014, 21:20