data mining concepts techniques han kamber pdf

Data Mining Concepts and Techniques phần 1 potx

Data Mining Concepts and Techniques phần 1 potx

... Commercial Data Mining Systems 663 11.3 Additional Themes on Data Mining 665 11.3.1 Theoretical Foundations of Data Mining 665 11.3.2 Statistical Data Mining 666 11.3.3 Visual and Audio Data Mining ... Managing Reference Data in Enterprise Databases: Binding Corporate Data to the Wider World Malcolm Chisholm Data Mining: Concepts and Techniques Jiawei Han and Micheline Kamber Understanding ... Mining 667 11.3.4 Data Mining and Collaborative Filtering 670 11.4 Social Impacts of Data Mining 675 11.4.1 Ubiquitous and Invisible Data Mining 675 11.4.2 Data Mining, Privacy, and Data Security...

Ngày tải lên: 08/08/2014, 18:22

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Data Mining Concepts and Techniques phần 2 ppsx

Data Mining Concepts and Techniques phần 2 ppsx

... and Transformation Data mining often requires data integration—the merging of data from multiple data stores. The data may also need to be transformed into forms appropriate for mining. This section ... 97 2.7 Summary Data preprocessing is an important issue for both data warehousing and data mining, as real-world data tend to be incomplete, noisy, and inconsistent. Data preprocessing includes data cleaning, ... the original data. PCA is computationally inexpensive, can be applied to ordered and unordered attributes, and can handle sparse data and skewed data. Multidimensional data of more than two dimensions...

Ngày tải lên: 08/08/2014, 18:22

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Oracle9i Data Mining Concepts Release 9.2.0.2 October 2002 Part No. A95961-02 Oracle9i Data

Oracle9i Data Mining Concepts Release 9.2.0.2 October 2002 Part No. A95961-02 Oracle9i Data

... faster than the viii Basic ODM Concepts 1-1 1 Basic ODM Concepts Oracle9i Data Mining (ODM) embeds data mining within the Oracle9i database. The data never leaves the database — the data, data ... the status of the mining operations as they are executed. 1.2 Oracle9i Data Mining Components Oracle9i Data Mining has two main components: ■ Oracle9i Data Mining API ■ Data Mining Server (DMS) 1.2.1 ... created by enhanced k-means provides a better description of the underlying data than the underlying model of traditional k-means. Data Mining Tasks 1-22 Oracle9i Data Mining Concepts 1.5.3...

Ngày tải lên: 06/11/2013, 01:15

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KEY CONCEPTS & TECHNIQUES IN GIS pdf

KEY CONCEPTS & TECHNIQUES IN GIS pdf

... aspects that make spatial data 8 KEY CONCEPTS AND TECHNIQUES IN GIS Albrecht-3572-Ch-01.qxd 7/13/2007 4:14 PM Page 8 12 KEY CONCEPTS AND TECHNIQUES IN GIS 2.2 Conversion Data conversion is the ... PM Page 31 32 KEY CONCEPTS AND TECHNIQUES IN GIS new data based on a new interpretation of already existing data. There is no category ‘vegetation’ in the original landcover dataset. We will revisit ... serious challenge to data exchange any more, and with ubiquitous WWW access, the remaining issues are not so much technical in nature. 2.1 Data exchange Following the logic of geographic data structure...

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DATA MINING AND APPLICATION: TỔNG QUAN pdf

DATA MINING AND APPLICATION: TỔNG QUAN pdf

... LIỆU THAM KHẢO  J .Han, M .Kamber, Data mining : Concepts & Technique” (ppt) – http://www.cs.sfu.ca/ ~han/ dmbook  P.Tan, M. Steinbach, V. Kumar, “Introduction to data Mining , 2006, - http://www- users.cs.umn.edu/~kumar/dmbook/index.php  ... thiệu về môn học  Giới thiệu về khai thác dữ liệu (DM) 1 KHAI THÁC DỮ LIỆU & ỨNG DỤNG (DATA MINING) GV : ThS. NGUYỄN HOÀNG TÚ ANH 2 NỘI DUNG  Giới thiệu về môn học  Giới thiệu về khai ... của các em tỷ lệ thuận với các nỗ lực đã bỏ ra. 4 7 HÌNH THỨC KIỂM TRA VÀ ĐÁNH GIÁ  Hệ thống thang điểm:  Bài thi lý thuyết: 4.5 điểm  Bài tập theo nhóm và cá nhân: 1.5 điểm  Báo cáo xemina:...

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Tài liệu CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES pdf

Tài liệu CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES pdf

... of Glasgow, Glasgow, UK. -10- 18/01/2006 Ulrich Öfele 4.2 Factorial Findings (I) Explains more than 40% of the overall variance for all countries (high load factor 1) Items of physical environment (high ... timely useful basis as needed by managers of business enterprises in highly charged, rapidly changing niche markets like the fast food industry  provide managers with scientifically based ... to extension of study to other industries, cultures will help to improve service quality and enhance growth through increased consumerism -2- 18/01/2006 Ulrich Öfele Overview : 1. Authors...

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Data Mining Classification: Alternative Techniques - Lecture Notes for Chapter 5 Introduction to Data Mining pdf

Data Mining Classification: Alternative Techniques - Lecture Notes for Chapter 5 Introduction to Data Mining pdf

... to $1M © Tan,Steinbach, Kumar Introduction to Data Mining 40 1 nearest-neighbor Voronoi Diagram © Tan,Steinbach, Kumar Introduction to Data Mining 38 Nearest-Neighbor Classifiers  Requires ... covered by R1 © Tan,Steinbach, Kumar Introduction to Data Mining 36 Instance Based Classifiers Examples: Rote-learner ã Memorizes entire training data and performs classification only if attributes ... (Status=Married) → No © Tan,Steinbach, Kumar Introduction to Data Mining 44 Nearest Neighbor Classification Problem with Euclidean measure: High dimensional data ã curse of dimensionality Can produce counter-intuitive...

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Data Mining Association Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining pdf

Data Mining Association Analysis: Basic Concepts and Algorithms Lecture Notes for Chapter 6 Introduction to Data Mining pdf

... to Data Mining 49 Effect of Support Distribution Many real data sets have skewed support distribution Support distribution of a retail data set © Tan,Steinbach, Kumar Introduction to Data Mining ... for Chapter 6 Introduction to Data Mining by Tan, Steinbach, Kumar â Tan,Steinbach, Kumar Introduction to Data Mining 1 © Tan,Steinbach, Kumar Introduction to Data Mining 22 Subset Operation ... to Data Mining 32 Alternative Methods for Frequent Itemset Generation Traversal of Itemset Lattice – General-to-specific vs Specific-to-general Data Mining Association Analysis: Basic Concepts...

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John wiley sons data mining techniques for marketing sales_4 pdf

John wiley sons data mining techniques for marketing sales_4 pdf

... c04.qxd 3/8/04 11:10 AM Page 97 Data Mining Applications 97 mining techniques used to generate the scores. It is worth noting, however, that many of the data mining techniques in this book can ... relationships suggest new hypotheses to test and the data mining process begins all over again. Lessons Learned Data mining comes in two forms. Directed data mining involves searching through historical ... independent of the data 470643 c04.qxd 3/8/04 11:10 AM Page 87 Data Mining Applications in Marketing and Customer Relationship Management 4 CHAPTER Some people find data mining techniques interesting...

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John wiley sons data mining techniques for marketing sales_5 pdf

John wiley sons data mining techniques for marketing sales_5 pdf

... each change. In the previous 470643 c05.qxd 3/8/04 11:11 AM Page 127 The Lure of Statistics: Data Mining Using Familiar Tools 127 Looking at Discrete Values Much of the data used in data mining ... valuable a typical channel A customer is than a typical channel B customer—a figure that is as valuable as the cost- per-response measures often used to rate channels. Data Mining for Customer ... tenures than for others. The chance that a customer will survive to reach some more distant future date can be calculated from the intervening hazards. Lessons Learned The data mining techniques...

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Description Data Mining Techniques For Marketing_2 pdf

Description Data Mining Techniques For Marketing_2 pdf

... time-series data is a central preoccupation of statistical analysts, so you might expect there to be a large collection of ready-made techniques available to be applied to predictive data mining ... to enrich the data with trend infor- mation by including fields such as differences and rates of change that explic- itly represent change over time. Chapter 17 discusses these data preparation ... decision trees being used in all of these ways. 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...

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