data mining tasks techniques and applications

... Foreign exchange Global Data Warehouse & Data Marts Using Data Mining- Techniques for Credit Risk Portfolio Data Option Custom Data Equities Company Data Market Risk Trading ... their behaviour and interaction with overall market. Many of this can only be built by using various data mining 1 J. M. Zytkow and W. Klösgen, Handbook of Data Mining and Knowledge Discovery. ... customer profiling and customer care, where data mining techniques can be used in banks and other financial institutions to enhance their business performance. Keywords: Data Mining, Banks,

Ngày tải lên: 20/06/2014, 14:20

... Arabie, and W Gaul (Eds.) Classification, Clustering, and Data Minig Applications 2004 A Rizzi, M Vichi, and H.-H Bock (Eds.) Advances in Data Science and Classification 1998 D Baier and K.-D ... Schader, W Gaul, and M Vichi (Eds.) Between Data Science and Applied Data Analysis 2003 C Hayashi, N Ohsumi, K Yajima, Y Tanaka, H.-H Bock, and Y Baba (Eds.) Data Science, Classifaction, and Related ... Lechevallier, and O Opitz (Eds.) Ordinal and Symbolic Data Analysis 1996 M Schwaiger and O Opitz (Eds.) Exploratory Data Analysis in Empirical Research 2003 R Klar and O Opitz (Eds.) Classification and

Ngày tải lên: 05/08/2014, 21:21

... training data set with 3000 and a test data set containing 1000 observations 3.2 Results We apply the local classification methods and global LDA to the simulated data sets and obtain 1280 test data ... recognition and machine learning communities due to the modularity of the algorithms and the data representations by kernel functions, cf (Schölkopf and Smola (2002)) and (Shawe-Taylor and Cristianini ... Distributions 1, Models and Applications, 2nd edition John Wiley & Sons, New York NEWMAN, D.J and HETTICH, S and BLAKE, C.L and MERZ, C.J (1998): UCI Repository of machine learning databases [http://www.ics.uci.edu/∼learn/

Ngày tải lên: 05/08/2014, 21:21

... al 2007) The data was split into training and test sets and normalized to minimum and. .. Press, MA, pp 37 5 -3 81 K P BENNETT and E J BREDENSTEINER (2000): Duality and Geometry ... K HO AND E M KLEINBERG (19 96): Building... J.P.R and RESSEL, P (19 84): Harmonic Analysis on Semigroups: Theory of Positive Definite and Related Functions, Springer CHANDON, J.L and ... well-known in data analysis (Chandon and Pinson (1971)). The motivation for using this similarity instead of the traditional Euclidean-based distance is twofold: (a) it is self-normalised, and (b)

Ngày tải lên: 05/08/2014, 21:21

... rule and determine relationship between com- bination rules and diversity measures we have used 10 benchmark datasets, divided into learning and test parts, as shown in Table 2. For each dataset ... for discrimination of mixed data, Biomet- rics, 48, 497-506. Identification of Noisy Variables for Nonmetric and Symbolic Data in Cluster Analysis Marek Walesiak and Andrzej Dudek Wroclaw University ... nonmetric, mixed, and symbolic interval data. The proposed modifications are evaluated for eight clustering algorithms on simulated data from a variety of models. 86 Marek Walesiak and Andrzej Dudek

Ngày tải lên: 05/08/2014, 21:21

... Classification, Clustering and Data Mining, Springer, 3 14 Hard and Soft Euclidean Consensus Partitions Kurt Hornik and Walter Böhm Department of Statistics and Mathematics Wirtschaftsuniversität ... cluster data objects that are located on the grid. An ant might pick up a data object and drop it later on. Ants are more likely to drop an object on a node whose neighbourhood has similar data ... low-dimensional grid I ⊂ N 2 and a set B of so-called Databots. A Databot carries an input sample of training set X and moves on the grid. Formally, a Databot i ∈ B is denoted as a triple (x i ,m(x

Ngày tải lên: 05/08/2014, 21:21

... times the incomplete data set following specific rules The resulting completed data set is analysed by standard methods and results are combined in order to yield estimates and assessing their ... Di Zio and Ugo Guarnera lows to treat continuous and ordinal data, and in some circumstances also categorical variables However, in Paddok’s paper it is shown that, even with nonnormal data, in ... presence of outliers (Hardin and Rocke, 2004) The method starts from a robust clustering of the data and involves a testing procedure about the outlyingness of the data, which exploits a distributional

Ngày tải lên: 05/08/2014, 21:21

... of rows, of columns and the relations between both sets Also cite the non symmetrical analysis (D’ Ambra and Lauro (19 84 ) and Lauro and D’ Ambra (19 89 )) and more recently the ... j=0 S j = 1, S 0 ≥ 0, x max and x min denote the maximum and minimum of the data. The uniform component is called the “noise component”. The parameters S j , a j and V j can again be estimated ... alternative techniques to estimate k are discussed in Coretto and Hennig (2007). 2.2 Maximum likelihood with uniform A further problem of BR-noise is that the model (4) is data dependent, and its

Ngày tải lên: 05/08/2014, 21:21

... Republic, Denmark, Finland, France, Germany, Ireland, Italy, Netherlands, Norway, Poland, Portugal, Sweden and United Kingdom. The scientific fields in which they are studying are: Social and Legal Sciences, ... and Netherlands, females go to Norway. Also students of Social and Legal Sciences Area have a different behavior. The Netherlands and Ireland are selected as destiny country by males and females ... Vanacore and Jean-Francçois Durand limits (Wu and Wang, 1997; Jones and Woodall, 1998; Liu and Tang, 1996) has been followed. 2 Multivariate control charts based on projection methods A standard

Ngày tải lên: 05/08/2014, 21:21

... References ANDERSON, C R., DOMINGOS, P and WELD, D A (2002): Relational Markov models and their application to adaptive web navigation Proc of the International Conference on Knowledge Discovery and Data ... xdel Search in X for xdel and determine its rank i and the elements bs and bg pointed at Determine y( j) and y( ) with the help of the pointers such that bs = x(i) + y( j) and bg = x(i) + y( ) Find ... the matrix B for data set (left) and (right) and a linear downward trend in the final third occur The reason to look at this data set is to analyze situations with shifts, trends and trend changes,

Ngày tải lên: 05/08/2014, 21:21

... performance on field data from the automotive business. 1 Introduction Mining sequences from temporal data is a well known data mining task which gained much attention in the past (e.g. Agrawal and Srikant ... label A and can only be accepted by S a () and S b (). The third temporal interval has label B and can be accepted by S c () and S d (). It also stands to the first A in the relation after and to ... Interval-Based Data In: Data Warehousing and Knowledge Discovery, 7th Int Conf., DaWaK 20 05 Springer, Berlin-Heidelberg, 315– 325 Graph Mining: ... L., and HELMA, C (20 01): Molecular Feature Mining

Ngày tải lên: 05/08/2014, 21:21

... data frames data1 and data2 are created and filtered according to... the datasets with 10,000 record pairs, sorted neighbourhood by region, age group, and sex reduces the list of candidate ... 024 , and blocking by Soundex code of last name retains only 83 candidates > candidates (data1 =d1.prep, data2 =d2.prep, method='blocking',selvars1='asoundex.lname') > candidates (data1 =d1.prep, ... segmen- tation and classification results obtained for the skin cancer data set and Section 5 is devoted to discussions and conclusions. 2 Labelling Hyper-spectral data are highly correlated and contain

Ngày tải lên: 05/08/2014, 21:21

... – A free data mining software for research and edu- cation, www.eric.univ-lyon2.fr/∼rico/tanagra/. WITTEN, I.H. and FRANK, E. (2005): Data Mining: Practical machine learning tools and techniques, ... process and data mining (list will be open-ended). • integrate these patterns into data mining software to help design ad-hoc algorithms, choose an existing one or have guidance in the data mining ... 6: end for 7: for i =1ton AND j =1ton − 1 AND k = j +1ton do 8: if i!=jANDi!=k then 9: set Z := data[ ,j] · data[ ,k] 10: estimation by lm (data[ ,i] Z) 11: if significant AND parameter estimates within

Ngày tải lên: 05/08/2014, 21:21

... scheme of exploratory data analysis has been presented to give lightings on the usages of applications and daily trafficprofiles. Our data- mining approach, based on the analysis and the interpre- tation ... show how it can be queried and mined to answer a wide range of questions on learning. .. power of this database by showing how SQL queries and data mining techniques can be used to investigate ... of traffic time periods and intensity. The main characteristics are a similar activity in up and down traffic directions and a similar usage of the peer-to-peer and unknown applications in clusters.

Ngày tải lên: 05/08/2014, 21:21

... v.eid = e.eid and e.learner_inst = li.liid and li.lid = l.lid and l.name= ' A ' and lv.liid=li.liid and lv.pid = lp.pid and lp. name= ' P ' and e .data_ inst = di.diid and di.did ... li, learner l, data_ inst di, dataset d, evaluation v WHERE v.eid = e.eid and e.learner_inst = li.liid and li.lid = l.lid and l.name= ' A ' and e .data_ inst = di.diid and di.did = d.did ... 07): Parallel and distributed data pipelining with KNIME Mediterranean Journal of Computers and Networks, Special Issue on Data Mining Applications on Supercomputing and Grid Environments

Ngày tải lên: 05/08/2014, 21:21

... mobility multimodal distribution Decision Boundaries C1: Data ≤ C2: Data > C1: Data ≤ C2: Data > C1: Data ≤ C2: Data > C1: Data ≤ C2: < Data < 50 C3: Data ≥ 50 Size of Classes [5820], 46,82% [6610], ... and regional science data are usually multidimensional, spatially correlated and especially heterogeneous These properties make classical data mining algorithms often inappropriate for this data, ... of Urban Data- Mining is defined to describe a methodological approach that discovers logical or mathematical and partly complex descriptions of urban patterns and regularities inside the data The

Ngày tải lên: 05/08/2014, 21:21

... be used and from the Preface XVI - Object-oriented data representation to facilitate data standardization and data integration by the embodiment of metadata and data operations into data structures; - ... sharing of dynamic, multi-authored data sets, and parallel posting and retrieval of data; - Remote sensing and GIS to facilitate spatial data visualization and acquisition; - Animation to facilitate ... to provide high-speed data access and processing and large internal storage (RAM), and to facilitate high speed simulations; - Internet and www to facilitate interactive and online simulation...

Ngày tải lên: 29/03/2014, 17:20

... Optimization: Techniques and Applications in Chemical Engineering ed: Gade Pandu Rangaiah Vol. 2: Stochastic Global Optimization: Techniques and Applications in Chemical Engineering ed: Gade Pandu Rangaiah KwangWei ... ES. GA and its applications are discussed in Chapters 4, 16 a nd 18, and DE and its variants are the subject of Chapters 6, 13 and 14. Ant colony optimization (ACO) covered in Chapter 7 and particle ... Methods Random Search Techniques Pure Random Search, Adaptive Random Search, Two-Phase Methods, Simulated Annealing, Tabu Search Figure 3. Classification of stochastic global optimization techniques. Multi-start...

Ngày tải lên: 01/04/2014, 11:36