intelligent data mining techniques and applications

... Detection In Online Social Networks: Using data-mining Techniques and Fuzzy Logic i ii Anomaly Detection In Online Social Networks: Using data-mining Techniques and Fuzzy Logic Abstract The Online Social ... Discovery and Data Mining (pp 504-509) ACM Aggarwal, C C (2013) Outlier Analysis Springer Aggarwal, C C., & Wang, H (2010) Graph Data Management and Mining: A Survey of Algorithms and Applications ... Conference on Data Mining Workshops (ICDMW) (pp 244-250) IEEE Ghoting, A., Parthasarathy, S., & Otey, M (2008) Fast Mining of Distance-based Outliers in High-dimensional Datasets Data Mining and Knowledge

Ngày tải lên: 07/08/2017, 15:46

... 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

... partitioning the data (mining on each partition and then combining the results) and sampling the data (mining on a subset of the data) These variations can reduce the number of data scans required ... Cheung, Han, Ng, and Wong [CHNW96] Parallel and distributed association data mining under the Apriori framework was studied by Park, Chen, and Yu [PCY95b], Agrawal and Shafer [AS96], and Cheung, Han, ... association mining was studied in Han and Fu [HF95], and Srikant and Agrawal [SA95] In Srikant and Agrawal [SA95], such mining was studied in the context of generalized association rules, and an R-interest

Ngày tải lên: 08/08/2014, 18:22

... Recent data mining research has built on such work, developing scalable classification and prediction techniques capable of handling large disk-resident data In this chapter, you will learn basic techniques ... cuboids for city and item, city and year, city and sales, and the 3-D cuboid for item, year, and sales In this way, an iterative technique can be used to build higher-order data cubes from lower-order ... such as binning, histogram analysis, and clustering Data cleaning, relevance analysis (in the form of correlation analysis and attribute subset selection), and data transformation are described

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

... 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 ... Biological Data Bioinformatics is a promising young field that applies computer technology in molecular biology and develops algorithms and methods to manage and analyze biological data Because DNA and

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

... Applications and Trends in Data Mining Coupling data mining with database and/or data warehouse systems: A data mining system should be coupled with a database and/or data warehouse system, where ... standardize data mining products and to 11.2 Data Mining System Products and Research Prototypes 663 ensure the interoperability of data mining systems Recent efforts at defining and standardizing data mining ... visualizer, and (multidimensional data) scatter visualizer for the visualization of data and data mining results 664 Chapter 11 Applications and Trends in Data Mining Oracle Data Mining (ODM),

Ngày tải lên: 08/08/2014, 18:22

... the benefits of data mining in terms of time and money savings and the discovery of new knowledge 11.5 Trends in Data Mining The diversity of data, data mining tasks, and data mining approaches ... content mining, Weblog mining, and data mining services on the Internet will become one of the most important and flourishing subfields in data mining Distributed data mining: Traditional data mining ... issues in data mining The development of efficient and effective data mining methods and systems, the construction of interactive and integrated data mining environments, the design of data mining

Ngày tải lên: 08/08/2014, 18:22

... field, Computer-Aided Intelligent Recognition Techniques and Applications Edited by M. Sarfraz © 2005 John Wiley & Sons, Ltd 34 Extracting Textual Characters in Color Video and there has been ... Suters, M and Yan, H “Connected handwritten digit separation by optimal contour partition,” Proceedings of the International Conference on Digital Image Computing Techniques and Applications, ... Suters, M and Yan, H “Separation of Single and Double Touching Handwritten Numeral Strings,” Optical Engineering, 34, pp 159–165, 1995 [16] Shi, Z and Govindaraju, V “Segmentation and Recognition

Ngày tải lên: 14/08/2014, 06:22

... (2) and (3) are two methods called propinit and eveninit, proposed in [13] as the standard initialization methods for the LVQ, that choose initial codebook entries randomly from the training data ... Nonetheless, it is never long before more new ideas and technologies are employed Computer-Aided Intelligent Recognition Techniques and Applications © 2005 John Wiley & Sons, Ltd Edited ... same way; and data are preprocessed using the same techniques; otherwise, results can only be taken as indicative. This is the case of the results found in [32], in which 96.8 %, 93.6 % and 85.9

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

... and Medical Data Understanding,” Pattern Recognition, 36( 10), pp 2441–2452, 2003 274 Medical Pattern Understanding and Cognitive Analysis [22] Sonka, M and Fitzpatrick, J M (Eds) Handbook ... 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 40 years old. Table 13.1 summarizes the distribution of the database. In ... Preprocessing of image data to eliminate the variabilities that may occur in image data capture. 3. Suitable data representation techniques that can keep useful information and at the same time

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

... to automate and tie together cumbersome and separate engineering or production tasks, including design, analysis, Computer-Aided Intelligent Recognition Techniques and Applications ... 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 ... [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

Ngày tải lên: 14/08/2014, 06:22

... branches and determining the length of a noise segment. Let L =p 1 p m p n  be a generic noise branch and the voxel sets p 1 p m  and p m+1 p n  denote the noise and structural ... branch and r i is the local coordinate of voxel p i =px i y i z i . These standard merit functions are best suited for least squares data modeling with dense and evenly located discrete data. ... Letters, 15, pp 3 09 315, 199 4 [5] Ma, C M and Sonka, M “A fully parallel 3D thinning algorithm and its applications, ” Computer Vision and Image Understanding,... ischemia in the dog,” Journal

Ngày tải lên: 14/08/2014, 06:22