data mining techniques by arun k pujari free pdf

... nineteen-eighties, that became part of several commercial data mining software packages The problem is that just by breaking the larger data set into many small subsets , the number of classes ... Decision Trees as a Data Exploration Tool During the data exploration phase of a data mining project, decision trees are a useful tool for picking the variables that are likely to be important ... task of analyzing trends in historical data in order to predict future behav­ ior recurs in every domain we have examined One of our clients, a major bank, looked at the detailed transaction data

Ngày tải lên: 21/06/2014, 21:20

... where market basket analysis can help to describe the differences and serve as an example of using market basket analysis for directed data mining How can association rules be used to make these ... market basket data makes it possible to find rules that include store characteristics and customer characteristics After augmenting the data to specify where it came from, the transaction looks ... relationships that are known (or should be known) to exist And inexplicable rules simply not make sense Inexplicable rules often have weak support 319 320 Chapter Market basket analysis and association

Ngày tải lên: 21/06/2014, 21:20

... col A key1 key1 key2 key2 key2 key2 key3 key3 key3 key4 key4 key4 col B row 001 002 003 004 005 006 007 008 009 010 011 012 col A key1 key1 key2 key2 key2 key2 key3 key3 key3 key4 key4 key4 col ... whose keys match in the inputs, a new row is created in the output Relational databases have four major querying operations col A key1 key2 key3 key4 avg B max B sum D col A key1 key1 key3 key3 key3 ... natural ally of data mining Data mining seeks to find actionable patterns in data and therefore has a firm requirement for clean and consistent data Much of the effort behind data mining endeavors

Ngày tải lên: 21/06/2014, 21:20

... the data correctly in the first place The Skills to Turn Data into Actionable Information The ideal data mining environment is staffed by people whose superior skills in data processing and data ... any IT-based data mining projects Building the Data Mining Environment Building a Data Mining Group in the Business Units The alternative to putting the data mining group where the data and comput­ ... we prefer to see data mining centered in the business units What to Look for in Data Mining Staff The best data mining groups are often eclectic mixes of people Because data mining has not existed

Ngày tải lên: 21/06/2014, 21:20

... 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 ... broad-brush variables to work with and fairly primitive data mining tools, data mining could improve the effectiveness of a direct market­ ing campaign for a big-ticket item like an automobile The next ... divided the data mining process into four stages: 1 Identifying the problem 2 Transforming data into information 3 Taking action 4 Measuring the outcome Now it is time to start looking at data mining

Ngày tải lên: 14/08/2014, 11:21

... network, and the bizocity score TE 112 Team-Fly® Data Mining Applications The bizocity score is generated by a regression model that takes into account the length of calls made and received by the ... 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 ... model of businesslike behavior derived from data generated by known busi­ nesses This score, which AT&T calls “bizocity,” is used to determine which services should be marketed to the prospects

Ngày tải lên: 14/08/2014, 11:21

... 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 ... the error—hence the name back propagation because the errors are sent back through the network The back propagation algorithm measures the overall error of the network by comparing the values produced ... Heuristics for Using Feed-Forward, Back Propagation Networks Even with sophisticated neural network packages, getting the best results from a neural network takes some effort This section covers

Ngày tải lên: 14/08/2014, 11:21

... time-delay neural network remembers the previous few training examples and uses them as input into the network The network then works like a feed-forward, back propagation network 245 246 Chapter 7 ... neural networks used for undirected data mining tasks such as cluster detection The Finnish researcher Dr Tuevo Kohonen invented self-organizing maps, which are also called Kohonen Net­ works Although ... to Know What Is Going on Inside a Neural Network Neural networks are opaque Even knowing all the weights on all the nodes throughout the network does not give much insight into why the network

Ngày tải lên: 14/08/2014, 11:21

... 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 ... statistical background of survival analysis is focused on extracting every last bit of information out of a few hundred data points In data mining applications, the volumes of data are so large ... clustered contain non-numeric data One of the most popular algorithms for automatic cluster detection is K- means The K- means algorithm is an iterative approach to finding K clusters based on distance

Ngày tải lên: 14/08/2014, 11:21

... neural networks Used together, OLAP and data mining reinforce each other’s strengths and provide more opportunities for exploiting data Where Data Mining Fits in with Data Warehousing Data mining plays ... observations in the data A good data warehousing environment serves as a catalyst for data mining The two technologies work together as partners: ■ ■ Data mining thrives on large amounts of data and the ... detailed the data, the better? ?data that comes from a data warehouse ■ ■ Data mining thrives on clean and consistent data? ??capitalizing on the investment in data cleansing tools Data Warehousing,

Ngày tải lên: 14/08/2014, 11:21

... any IT-based data mining projects Building the Data Mining Environment Building a Data Mining Group in the Business Units The alternative to putting the data mining group where the data and comput­ ... we prefer to see data mining centered in the business units What to Look for in Data Mining Staff The best data mining groups are often eclectic mixes of people Because data mining has not existed ... into the data warehouse, where they Building the Data Mining Environment will be available for analysis Often the actions themselves are suggested by data mining As an example, data mining at

Ngày tải lên: 14/08/2014, 11:21

... the ideal, by sorting the months by the balance ratio. 470643 c17.qxd 3/8/04 11:29 AM Page 590 590 Chapter 17 The Dark Side of Data Working with data is a critical part of the data mining process. ... competitor, not liking the service, [...]... 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 ... Began Data Mining Over the years, the authors have watched many companies make their first forays into data mining Although each company’s situation is unique, some Putting Data Mining

Ngày tải lên: 14/08/2014, 11:21

... liệu (data integration), chọn dữ liệu (data selection), biến đổi dữ liệu (data transformation). - Khai thác dữ liệu (Data mining) : xác định nhiệm vụ khai phá dữ liệu và lựa chọn k? ?? thuật khai ... công nghệ thông tin: Ứng dụng K- mean để giảm không gian màu trong hình ảnh (Image segmentation). I.1. Giới thiệu ? ?Data mining? ??: Khai phá dữ liệu là quá trình khám phá các tri thức mới và các ... có. Khai phá dữ liệu làm giảm chi phí về thời gian so với phương pháp truyền thống trước kia (ví dụ như phương pháp thống k? ?). Khai phá dữ liệu là một bước của quá trình khai thác tri thức (Knowledge

Ngày tải lên: 09/04/2015, 22:00

... selection), biến đổi dữ liệu (data transformation). - Khai thác dữ liệu (Data mining) : xác định nhiệm vụ khai mỏ dữ liệu và lựa chọn k? ?? thuật khai mỏ dữ liệu. K? ??t quả cho ta một nguồn tri thức ... truyền thống trước kia (ví dụ như phương pháp thống k? ?). Khai mỏ dữ liệu là một bước của quá trình khai thác tri thức (Knowledge Discovery Process), bao gồm: - Xác định vấn đề và không gian dữ ... Ứng dụng K- mean để giảm không gian màu trong hình ảnh (Image segmentation). Qua đây em cũng xin gửi lời cảm ơn đến Giáo sư, Tiến sĩ khoa học Hoàng Văn Kiếm đã tận tình truyền đạt những kiến thức

Ngày tải lên: 10/04/2015, 17:05

... Fujita, Hiroko Ida, Hideyuki Hoshina, Tatsuo Inoue, Yukie Seki, Makoto Ohnishi, Tokio Ohyama, Susumu Shingaki, Masataka Kaji, Takashi Saku, and Ritsuo Takagi. Identification of potential biomarkers ... dimensional data for data 147 mining applications. In Proc. of ACM-SIGMOD Int. Conf. on Management of Data, pages 94–105, June 1998. [5] Rakesh Agrawal and Ramakrishnan Srikant. Fast algorithms for mining ... [62] Heikki Mannila, Hannu Toivonen, and A. Inkeri Verkamo. Efficient algorithms for discovering association rules. In Proc. AAAI’94 Workshop Knowledge Discovery in Databases, 1994. [63] Masaki Nagata,

Ngày tải lên: 15/09/2015, 17:09

... 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 ... Marketing at the University of Glasgow, Glasgow, UK.  Mark M.H. Goode Lecturer in Marketing and Market Research, at Cardiff University, Cardiff, UK.  Luiz Moutinho Foundation Chair of Marketing ... markets (ECSI, ACSI)  but: they do not provide information on a timely useful basis as needed by managers of business enterprises in highly charged, rapidly changing niche markets like the...

Ngày tải lên: 22/12/2013, 02:17

... of techniques to apply in a particular situation depends on the nature of the data mining task, the nature of the available data, and the skills and preferences of the data miner. Data mining ... direct marketing cam- paign by allowing fewer prospects to be contacted. How did the mobile phone company get such scores? By data mining, of course! How Data Mining Was Applied Most data mining ... resolve these issues. Data mining can help make more informed decisions. It can suggest tests to make. Ultimately, though, the business needs What Is Data Mining? Data mining, as we use the...

Ngày tải lên: 07/04/2014, 11:16

... Applications 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 ... Motivated Data Mining? Why Is It Important? 1 1.2 So, What Is Data Mining? 5 1.3 Data Mining On What Kind of Data? 9 1.3.1 Relational Databases 10 1.3.2 Data Warehouses 12 1.3.3 Transactional Databases ... 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 ...

Ngày tải lên: 08/06/2014, 11:28

... variables, 554 KDD (knowledge discovery in databases), 8 Kimball, Ralph (The Data Warehouse Toolkit), 474 Kleinberg algorithm, link analysis, 332–333 K- means clustering, 354–358 knowledge discovery ... discussed, 7 Data Preparation for Data Mining (Dorian Pyle), 75 The Data Warehouse Toolkit (Ralph Kimball), 474 data warehousing customer patterns, 5 for decision support, 13 discussed, 4 database ... 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...

Ngày tải lên: 21/06/2014, 04:20