data mining techniques and applications hongbo du pdf

... to automate and tie together cumbersome and separate engineering or production tasks, including design, analysis, Computer-Aided Intelligent Recognition Techniques and Applications ... [17] Haralick, Y S and Shapiro, R M “Error Propagation in Machine Vision,” Machine Vision and Applications, 7, pp 93–114, 1994 [ 18] Roh, K S and Kweon,... segments and 2D/3D recognition ... junction Figure 18. 8(a) and 18. 8(b), respectively In each... Vision and Image Understanding, 63(3), pp 542–567, 1996 [13] Ohta, Y and Kanade, T “Stereo by intra- and inter- scanline search

Ngày tải lên: 14/08/2014, 11:21

... S2 Durand 10 Paris p3 Screw Blue 17 Rome J1 Sorter Paris 400 S2 Durand 10 Paris p3 Screw Blue 17 Rome J2 Punch Rome 200 S2 Durand 10 Paris p3 Screw Blue 17 Rome J3 Reader Athens 200 S2 Durand ... S2 Durand 10 Paris p3 Screw Blue 17 Rome J5 Collator London 600 S2 Durand 10 Paris p3 Screw Blue 17 Rome J6 Terminal Oslo 400 S2 Durand 10 Paris p3 Screw Blue 17 Rome J7 Tape London 800 S2 Durand ... real-life applications:text analysis, machine learning, databases, data mining, software decomposition, reasoning and patternrecognition A complete conjunctive query and its associated answer in a database

Ngày tải lên: 14/08/2014, 11:21

... ONLINE SOCIAL NETWORKS: USING DATA- MINING TECHNIQUES AND FUZZY School of Electrical Engineering and Computer Science Faculty of Science and Engineering Queensland University of Technology November ... be developed and customised for a specific application by adopting notions from different disciplines such as statistics, machine learning, and data mining Depending on applications and their limitations, ... appropriate techniques Existing anomaly detection techniques using graph modelling are limited due to issues such as time and computational complexity, low accuracy, missing value, privacy, and lack

Ngày tải lên: 07/08/2017, 15:46

... rules: Watch the game and home team wins and out with friends then beer Watch the game and home team wins and sitting at home then diet soda Watch the game and home team loses and out with friends ... 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 the ... less data preparation than many other techniques because they are equally adept at handling continuous and categorical vari­ables Categorical variables, which pose problems for neural networks and

Ngày tải lên: 14/08/2014, 11:21

... Case-Based Data Mining Platform 29 Data mining practice in industry heavily depends on experienced data mining professionals to provide solutions For the rarity of data mining professionals, data mining ... simplify data mining process, reduce the dependency on data mining professional, and shorten business decision time Keywords: Data Mining, Knowledge Reuse, Case-Based Reasoning, Case- Based Data Mining ... of the complexity of data mining process and data mining tools In this paper, we propose a case-based data mining platform, which reuses the knowledge captured in past data mining cases to semi-automatically

Ngày tải lên: 05/11/2019, 14:12

... Michalski,Carbonell, and Mitchell [MCM83,MCM86], Kodratoff and Michalski [KM90], Shavlikand Dietterich [SD90], and Michalski and Tecuci [MT94] For a presentation of machinelearning with respect to data mining applications, ... the data in preparation for classification and prediction can involve data cleaning to reduce noise or handle missing values, relevance analysis to remove irrelevant or redundant attributes, and ... be found in Quinlan and Rivest [QR89], Mehta, Agrawal, andRissanen [MRA95], and Rastogi and Shim [RS98] Other methods include Niblett andBratko [NB86], and Hosking, Pednault, and Sudan [HPS97]

Ngày tải lên: 08/08/2014, 18:22

... items in em )em+1 · · · en 506 Chapter Mining Stream, Time-Series, and Sequence Data Table 8.2 Projected databases and sequential patterns prefix projected database sequential patterns a (abc)(ac)d(c ... prefix b , c , d , e , and f , respectively This can be done by constructing the b -, c -, d -, e -, and f -projected databases and mining them respectively The projected databases as well as the ... unfocused mining can reduce both the efficiency and usability of frequent-pattern mining Thus, we promote constraint-based mining, which incorporates user-specified constraints to reduce the search

Ngày tải lên: 08/08/2014, 18:22

... retrieval and multidimensional indexing methods, should be integrated with data generalization and data mining techniques to achieve satisfactory results Techniques for mining such data are further ... complex structured objects and construct object cubes for OLAP and mining in object databases To facilitate generalization and induction in object-relational and object-oriented databases, it is important ... component of such databases can be generalized, and how the generalized data can be used for multidimensional data analysis and data mining 10.1.1 Generalization of Structured Data An important

Ngày tải lên: 08/08/2014, 18:22

... spatial data mining techniques due to the huge amount under-of spatial data and the complexity of spatial data types and spatial access methods “What about using statistical techniques for spatial data ... in spatial databases Such mining demands an integration of data mining with spatial database technologies It can be used for standing spatial data, discovering spatial relationships and relationships ... sensing data, and computer tomography It is important to explore data mining in raster or image databases Methodsfor mining raster and image data are examined in the following section regarding themining

Ngày tải lên: 08/08/2014, 18:22

... theory, and inductivedatabases com-Visual data mining integrates data mining and data visualization in order to discover implicit and useful knowledge from large data sets Forms of visual data mining ... content mining, Weblog mining, anddata mining services on the Internet will become one of the most important andflourishing subfields in data mining Distributed data mining: Traditional data mining ... multiple data mining systems and functions,and promote the education and use of data mining systems in industry and society.Recent efforts in this direction include Microsoft’s OLE DB for Data Mining

Ngày tải lên: 08/08/2014, 18:22

... bias introduced into the data by business processes The next eight chapters dive into more detail into more modern techniques for building models and understanding data Many of these techniques ... differences in approaches Data miners generally have lots and lots of data with few measurement errors This data changes over time, and values are sometimes incomplete The data miner has to be particularly ... be more receptive to one type of message and some to another Determining Customer Value Customer value calculations are quite complex and although data mining has a role to play, customer value

Ngày tải lên: 14/08/2014, 11:21

... competitive, sports, book, health care, other retail and government industries (cross industrial)  Results: Service Components Æ Personal Service (SatPers) and Service Setting (SatSett)  International ... cross cultural analysis  Managerial implications and recommendations  Style: scientific and statistical -7- 18/01/2006 Ulrich Öfele 3. Methodology and Instruments:  Customer Satisfaction Survey ... paper:  development and validation of a scale for the measurement of customer satisfaction within the international fast food industry  Cross-cultural investigation of fast food industry  Examines...

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 ... By data mining, of course! How Data Mining Was Applied Most data mining methods learn by example. The neural network or decision tree generator or what have you is fed thousands and thousands ... 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

... J., To, H.W., and Yang, D. Large scale data mining: Challenges and responses. Proc. of the Third Int’l Conference on Knowledge Discovery and Data Mining. Goil, S., Alum, S., and Ranka, S. ... performance and wide area data mining systems for over ten years. More recently, he has worked on standards and testbeds for data mining. He has an AB in Mathematics from Harvard University and a ... the data mining group in the centre. He has been working on distributed data mining algorithms and systems development. He is also working on network infrastructure for global wide data mining...

Ngày tải lên: 01/06/2014, 09:18

... 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 and have been ... 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 ... 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...

Ngày tải lên: 21/06/2014, 04:20

... for prospects and, because it is behavioral in nature rather than sim- ply geographic and demographic, it is more predictive. Data mining is used to identify additional products and services ... of Statistics: Data Mining Using Familiar Tools 127 Looking at Discrete Values Much of the data used in data mining is discrete by nature, rather than contin- uous. Discrete data shows up in ... statisticians and data min- ers. Our goal is to demonstrate results that work, and to discount the null hypothesis. One difference between data miners and statisticians is that data miners are...

Ngày tải lên: 21/06/2014, 04:20

... Watch the game and home team wins and out with friends then beer. Watch the game and home team wins and sitting at home then diet soda. Watch the game and home team loses and out with friends ... 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 ... com- ponent of SPSS’s Clementine data mining suite to forecast diesel engine sales based on historical truck registration data. The goal was to identify individual owner-operators who were likely...

Ngày tải lên: 21/06/2014, 21:20