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
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
Data Mining Concepts and Techniques phần 3 docx
... summarized data in a data warehouse sets a solid foundation for successful data mining. Moreover, we also believe that data mining should be a human-centered process. Rather than asking a data mining ... of data mining is characteristic of OLAP mining. In our study of the principles of data mining in this book, we place particular emphasis on OLAP mining, that is, on the integration of data mining ... and data mining. We also introduce on-line analytical mining (OLAM), a powerful paradigm that integrates OLAP with data mining technology. 3.5.1 Data Warehouse Usage Data warehouses and data...
Ngày tải lên: 08/08/2014, 18:22
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 ... model 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
MEDICAL INFORMATICS Knowledge Management and Data Mining in Biomedicine ppt
... wilbur@ncbi.nlm.nih.gov) Knowledge Management, Data Mining and Text Mining 7 Most knowledge management, data mining, and text mining techniques involve learning patterns from existing data or information, and are ... Knowledge Management, Data Mining, and Text Mining in Medical Informatics: The chapter provides a literature review of various knowledge management, data mining, and text mining techniques and their ... chapter focuses on the genomic data mine consisting of text data, map data, sequence data, and expression data, and concludes with a case study. Exploratory Genomic Data Analysis: The chapter...
Ngày tải lên: 06/03/2014, 12:20
INTRODUCTION TO KNOWLEDGE DISCOVERY AND DATA MINING - CHAPTER 2 ppt
Ngày tải lên: 14/08/2014, 02:21
Tài liệu CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES ppt
... BASED DATA MINING TECHNIQUES The objective of data mining is to extract valuable information from one’s data, to discover the ‘hidden gold’. In Decision Support Management terminology, data mining ... one search for patterns of information in data (Parsaye, 1997). Figure 2: Rule Induction process Data mining techniques are based on data retention and data distillation. Rule induction models ... process. REFERENCES [1] 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,...
Ngày tải lên: 11/12/2013, 23:15
John wiley sons data mining techniques for marketing sales_6 ppt
... 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 ... 11:11 AM Page 159 The Lure of Statistics: Data Mining Using Familiar Tools 159 statisticians use similar techniques to solve similar problems, the data mining approach differs from the standard ... correct, we would need to know who was contacted as well as who responded. Data Mining and Statistics Many of the data mining techniques discussed in the next eight chapters were invented by statisticians...
Ngày tải lên: 21/06/2014, 04:20
John wiley sons data mining techniques for marketing sales_8 ppt
... their ability to generalize and learn from data mimics, in some sense, our own ability to learn from experience. This ability is useful for data mining, and it also makes neural networks an ... on the data, the patterns being detected, and the type of net- work. Since overfitting is a major concern with networks using customer data, we generally do not use hidden layers larger than the ... range, typically from –1 to 1? The behave in an almost linear way. That is, small changes in changes in the output; changing on the output. The relationship is not exact, but it is a close approximation....
Ngày tải lên: 21/06/2014, 04:20
Data Mining Techniques For Marketing, Sales, and Customer Relationship Management Second Edition phần 7 ppt
Ngày tải lên: 14/08/2014, 11:21