intelligent data mining techniques and applications download

... 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, ... interested friends and acquaintances, and to share information, photos, and videos This powerful phenomenon, which captures the structure and dynamics of person-to-person and person-to-technology

Ngày tải lên: 07/08/2017, 15:46

... 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

... a data mining query language can be used to specify data mining tasks In particular, we examine how to define data warehouses and data marts in our SQL-based data mining query language, DMQL Data ... for time, item, and location are shared between both the sales and shipping fact tables In data warehousing, there is a distinction between a data warehouse and a data mart A data warehouse collects ... form of data cleaning, as well as data reduction In summary, real-world data tend to be dirty, incomplete, and inconsistent Data preprocessing techniques can improve the quality of the data, thereby

Ngày tải lên: 08/08/2014, 18:22

... with data mining technology Data warehouses and data marts are used in a wide range of applications Businessexecutives use the data in data warehouses and data marts to perform data analysis andmake ... respect to datamining functionality and the complexity of the data handled Because data mining involves more automated and deeper analysis than OLAP,data mining is expected to have broader applications ... sense, data mining goes one step beyond traditional on-line analyticalprocessing An alternative and broader view of data mining may be adopted in which datamining covers both data description and data

Ngày tải lên: 08/08/2014, 18:22

... include data cube–based data aggregation and attribute-oriented induction From a data analysis point of view, data generalization is a form of descriptive data mining Descriptive data mining describes ... pattern mining has become an important data mining task and a focusedtheme in data mining research In this chapter, we introduce the concepts of frequent patterns, associations, and relations, and ... Data Cube Computation and Data Generalizationcube computation in MOLAP was proposed in Zhao, Deshpande, and Naughton[ZDN97] Ross and Srivastava [RS97] developed a method for computing sparsedata

Ngày tải lên: 08/08/2014, 18:22

... assuming a small data size Recent data mining research has built onsuch work, developing scalable classification and prediction techniques capable of han-dling large disk-resident data In this chapter, ... Trang 26 Classification and PredictionDatabases are rich with hidden information that can be used for intelligent decision making Classification and prediction are two forms of data analysis that ... such as binning, histogram analysis, and clustering Data cleaning, relevance analysis (in the form of correlation analysis and attributesubset selection), and data transformation are described in

Ngày tải lên: 08/08/2014, 18:22

... 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, ... 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] ... functions(Hanson and Burr [HB88]), dynamic adjustment of the network topology (Me´zardand Nadal [MN89], Fahlman and Lebiere [FL90], Le Cun, Denker, and Solla [LDS90],and Harp, Samad, and Guha [HSG90] ), and

Ngày tải lên: 08/08/2014, 18:22

... basic concepts and techniques of data mining The techniques studied, however, were for simple and structured data sets, such as data in relationaldatabases, transactional databases, and data warehouses ... telecommu-nications data, transaction data from the retail industry, and data from electric powergrids Traditional OLAP and data mining methods typically require multiple scans ofthe data and are therefore ... andadvanced database system technologies, and the World Wide Web Therefore, an increas-ingly important task in data mining is to mine complex types of data Furthermore, manydata mining applications

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 ... 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 ... object-relational and object-oriented databases is their capability of storing, accessing, and modeling complex structure-valued data, such as set- and list-valued data and data with nested structures

Ngày tải lên: 08/08/2014, 18:22

... 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 ... 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 ... 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

... biological data mining,mining software bugs, Web mining, distributed and real-time mining, graph mining,social network analysis, multirelational and multidatabase data mining, data privacyprotection, and ... 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 ... constraint-basedmining), the integration of data mining with data warehousing and database systems,the standardization of data mining languages, visualization methods, and new meth-ods for handling complex data

Ngày tải lên: 08/08/2014, 18:22

... image ‘data38’ with Gaussian noise
SNR= 10 Table 3.2 Recall and precision for images with Salt And Pepper (SAP) and speckle noise Speckle Speckle Speckle the recall and precision drop to 83 % and ... challenging problem to researchers in the field, Computer-Aided Intelligent Recognition Techniques and Applications Edited by M Sarfraz Trang 4and there has been limited success on using this approach ... success rate.Computer-Aided Intelligent Recognition Techniques and Applications Edited by M Sarfraz Trang 22before they are separated Therefore, segmentation of connected handwritten numerals is an

Ngày tải lên: 14/08/2014, 06:22

... be made when the same release of UNIPEN data is employed;training and test data sets are generated the same way; and data are preprocessed using the sametechniques; otherwise, results can only ... Maryland(UMD) logo database (ftp://ftp.cfar.umd.edu/pub/documents/contrib/databases/UMDlogo database.tar)and 40 non-logo images Figure 6.1 shows a sample of fifteen logos obtained from the UMD database.Back ... memory.’ Recently, IBM and CIChave announced their plan to add CIC’s ‘Jot’ handwriting recognition and ‘WordComplete’ shorthandsoftware applications to the IBM ‘ThinkPad’ and ‘WorkPad’ hardware

Ngày tải lên: 14/08/2014, 06:22

... Computer-Aided Intelligent Recognition Techniques and Applications © 2005 John Wiley & Sons, Ltd Edited by M Sarfraz 146 Iris Recognition Using... of human faces and facial expressions: ... can gainaccess to certain systems or restricted areas and resources The Computer-Aided Intelligent Recognition Techniques and Applications © 2005 John Wiley & Sons, Ltd Edited by ... equations:  i x =  i x − i  i (9.8) and h i x = Q  1 1+exp−t i x  i=1 2n (9.9) Here, values  i and  i denote the mean and standard deviation of feature R i of the training

Ngày tải lên: 14/08/2014, 06:22

... S B and Tsutsui, S Intelligent Biometric Techniques in Fingerprint and Face Recognition CRC Press, 1990 [3] Moghaddam, B and Pentland, A “Face recognition using view-based and ... International Conference on Automatic Face and Gesture Recognition, 2000 [28] Schrater, P R “Bayesian data fusion and credit assignment in vision and fmri data analysis,” Computational Image Proceedings ... lighting and expression. Facial images are high- dimensional data and facial features have similar geometrical configuration. As such, under general conditions where pose, lighting and expression

Ngày tải lên: 14/08/2014, 06:22

... Computer-Aided Intelligent Recognition Techniques and Applications Edited by M Sarfraz Trang 20258 Medical Pattern Understanding and Cognitive AnalysisFigure 14.1 Stages of image analysis and semantic ... ages 20 to 40 and 50 to 80.The database was divided up into four groups of males and females above 50 years old and below 40years old Table 13.1 summarizes the distribution of the database In the ... Data Projection Techniques The problem known as the ‘curse of dimensionality’ has received a great deal of attention fromresearchers Many techniques have been proposed to project data These techniques

Ngày tải lên: 14/08/2014, 06:22

... Discriminative and Nonlinear Classifiers and Computer-Aided Intelligent Recognition Techniques and Applications Edited by M Sarfraz Trang 81 IntroductionPattern recognition deals with mathematical and technical ... [32] Antonie, M.-L., Z ¨aiane, O R and Coman, A “Application of Data Mining Techniques for Medical Image Classification,” International Workshop on Multimedia Data Mining MDM/KDD2001, San Francisco, ... LDA, SVM and RDSVM on the TIMIT database (a)Training data in DR2; (b) testing data in DR2.• The performance of RDSVM is very stable throughout all the dimensions on both training andtesting data

Ngày tải lên: 14/08/2014, 06:22

... Higorani, S L and Rao, S B “A Maximum Likelihood Stereo Algorithm,” Computer Vision and Image Understanding, 63(3), pp 542–567, 1996. [13] Ohta, Y and Kanade, T “Stereo by intra- and inter- scanline ... bearing and threading), and so on.After the understanding process, a 3D computer model will then be reconstructed by using geometricmatching techniques with the recognized syntactic and semantic ... [1–6] To achieve this, a model-based object recognition system Computer-Aided Intelligent Recognition Techniques and Applications Edited by M Sarfraz Trang 4variations, it is possible to extract

Ngày tải lên: 14/08/2014, 06:22