spatial 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

... 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 ... Business Modeling and Data Mining, 60 Data Preparation for Data Mining, 75 470643 bindex.qxd 3/8/04 11:08 AM Page 619 C Index 619 calculations, probabilities, 133–135 call detail databases, 37 ... 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...

Ngày tải lên: 21/06/2014, 04:20

... them. How Data Mining Is Being Used Today This whirlwind tour of a few interesting applications of data mining is intended to demonstrate the wide applicability of the data mining techniques ... of Data Mining 33 Table 2.1 Data Mining Differs from Typical Operational Business Processes TYPICAL OPERATIONAL SYSTEM DATA MINING SYSTEM Operations and reports on Analysis on historical data ... the data mining solu- tion is more than just a set of powerful techniques and data structures. The techniques have to be applied in the right areas, on the right data. The virtuous cycle of data...

Ngày tải lên: 21/06/2014, 04:20

Ngày tải lên: 21/06/2014, 04:20

Ngày tải lên: 21/06/2014, 04:20

Ngày tải lên: 21/06/2014, 21:20

Ngày tải lên: 14/08/2014, 11:21

Ngày tải lên: 14/08/2014, 11:21

... 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, ... of Data Set (training and test set) Filling the empty cells MUSAFinal Analysis Is the Data Set Complete? Yes No Selection of complete questionnaires CUSTOMER SATISFACTION USING DATA MINING TECHNIQUES Nikolaos ... Analysis (Consistent family of criteria) Development of questionnaire Survey MUSA Data Mining Search Engines Rule Induction Engine Data Mining Global Satisfaction Predicction Satisfaction Functions Patterns...

Ngày tải lên: 22/10/2013, 09:15

... the mining tool the customer had selected, causing repeated mining software failures and system crashes during mining. The data reduction methodology described above reduced the data ... density manifold stability. But here is where data preparation steps into the data survey. The data survey (Chapter 11) examines the data set as a whole from many different points of view. ... rather than data preparation? Data preparation concentrates on transforming and adjusting variables’ values to ensure maximum information exposure. Data surveying concentrates on examining a...

Ngày tải lên: 15/12/2013, 13:15

... resampling techniques. These techniques do not affect data preparation since they are only properly applied to already prepared data. However, there is one data preparation technique used when data ... can be used to examine data as instances, data as variables, the data set as a whole, and various parts of a data set. Entropy and mutual information are used to evaluate data in many ways. Some ... Such data has a perspective. When mining perspectival data sets, it is very important to use nonperspectival test and evaluation sets. With the best of intentions, the mining data has...

Ngày tải lên: 15/12/2013, 13:15

... Linoff. Data Mining Techniques: For ~Marketing, Sales, and Customer Support. New York: John Wiley & Sons, 1997. This book provides a conceptual overview of various data mining techniques, ... test data set (top) and an 85.8283% accuracy in the test data for the prepared data set (bottom). 12.4 Practical Use of Data Preparation and Prepared Data How does a miner use data ... working with the data. When the data is easy to model, better models come out faster, which is the technical purpose of data preparation. How does data preparation make the data easier to work...

Ngày tải lên: 15/12/2013, 13:15

... Linoff. Data Mining Techniques: For ~Marketing, Sales, and Customer Support. New York: John Wiley & Sons, 1997. This book provides a conceptual overview of various data mining techniques, ... Data preparation looked at here has dealt with data in the form collected in mainly corporate databases. Clearly this is where the focus is today, and it is also the sort of data on which data ... data mining tools and data modeling tools focus. The near future will see the development of automated data preparation tools for series data. Approaches for automated series data preparation...

Ngày tải lên: 15/12/2013, 13:15

Ngày tải lên: 22/12/2013, 02:17

... required for mining distributed data, handling the meta -data and the mappings required for mining the distributed data. Spatial database systems involve spatial data - that ... algorithms and is termed distributed data mining [51]. Traditional data mining algorithms require all data to be mined in a single, centralized data warehouse. A fundamental challenge ... with a data mining system. Thus the development of efficient compression techniques, particularly suitable for data mining, will continue to be a design challenge for advanced database...

Ngày tải lên: 19/01/2014, 17:20

... of Data Mining 33 Table 2.1 Data Mining Differs from Typical Operational Business Processes TYPICAL OPERATIONAL SYSTEM DATA MINING SYSTEM Operations and reports on Analysis on historical data ... 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 ... that, on a technical level, the data mining effort is working and the data is reasonably accurate. This can be quite comforting. If the data and the data mining techniques applied to it are powerful...

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 ... 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 ... 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...

Ngày tải lên: 08/06/2014, 11:28

... development, 198–203 D Data types of, 26–27 validation, 152–155 Data errors and outliers, 60 , 62 – 64, 69 Data marts, 31 Data mining software classification trees, 98 Data preparation for modeling. ... 23–24 Solicitation mail, 31 Sources of data, 27–36. See also Data sources selecting customer database, 28–29 data warehouse, 31 – 35 external, 36 internal, 27–35 offer history database, 30–31 solicitation ... See Preparing data for modeling Data requirements review and evaluation, 187 – 188 Data sources selecting, 25–48 constructing modeling data set, 44–48 for modeling, 36–44 sources of data, 27–36 summary...

Ngày tải lên: 21/06/2014, 04:20