data analysis results discussions and recommendations
Data Analysis Machine Learning and Applications Episode 3 Part 9 docx
... 593 Manni, Franz, 645 March, Nicolas, 439 Marinho, Leandro B., 533 Mehler, Alexander, 653 Meinl, Thorsten, 319 Meißner, Martin, 447 Merkel, Andreas, 553 Messaoud, Amor, 455 Meyer, David, 389 Meyer-Delius, ... Rosaria, 687 Rousson, Valentin, 209 Ruhland, Johannes, 327 Najman Migda , Kamila, 45 Najman, Krzysztof, 45 Naumann, Sven, 637 Nerbonne, John, 645 Neumann, Andreas W., 541 Nunkesser, Robin, 277 ... Klaus B., 515 Schettlinger, Karen, 277 Schierle, Martin, 397 Schiffner, Julia, 69 Schliep, Alexander, 119 Schmidt-Thieme, Lars, 171, 525, 533 Scholz, Sören W., 447 Schröder, Jan, 355 Schulz,...
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Data Analysis Machine Learning and Applications Episode 1 Part 1 doc
... 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 ... 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 ... 1998 H.-H Bock, M Chiodi, and A Mineo (Eds.) Advances in Multivariate Data Analysis 2004 I Balderjahn, R Mather, and M Schader (Eds.) Classification, Data Analysis, and Data Highways 1998 D Banks,...
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Data Analysis Machine Learning and Applications Episode 1 Part 2 potx
... 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 ... example, a division of the data set at hand into several clusters containing data of one or more classes For such data structures global standard methods may lead to poor results One way to obtain ... 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...
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Data Analysis Machine Learning and Applications Episode 1 Part 3 docx
... 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) it ... References BERG, C CHRISTENSEN, J.P.R and RESSEL, P (1984): Harmonic Analysis on Semigroups: Theory of Positive Definite and Related Functions, Springer CHANDON, J.L and PINSON, S (1981): Analyse Typologique ... into training and test sets and normalized to minimum and maximum feature values (Min-Max) or standard deviation (Std-Dev) These experiments were run on a computer with a P4, 2.8 GHz and 1G in Ram...
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Data Analysis Machine Learning and Applications Episode 1 Part 4 pptx
... for discrimination of mixed data, Biometrics, 48, 497-506 Identification of Noisy Variables for Nonmetric and Symbolic Data in Cluster Analysis Marek Walesiak and Andrzej Dudek Wroclaw University ... interval data differs in steps and 2: A symbolic data array containing n objects and m symbolic interval variables is a starting point Identification of Noisy Variables for Nonmetric and Symbolic Data ... motions and parallaxes for the full set of sources This leads to a distinction for the data processing between early mission data, consisting of the spectra and positions, and late mission data, ...
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Data Analysis Machine Learning and Applications Episode 1 Part 5 pdf
... classification and is pervasive in observational data, the techniques of ultrametric analysis and p-adic geometry are at ones disposal for identifying and exploiting ultrametricity A p-adic encoding of data ... ultrametric spaces, and ultrametricity is a pervasive property of observational data, and by Murtagh (2004a) this offers computational advantages and a well understood basis for developping data processing ... structure map Therefore, U*C combines distance and density information for cluster analysis Experimental settings and results In order to evaluate the clustering and self-organizing abilities of ssALife,...
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Data Analysis Machine Learning and Applications Episode 1 Part 6 docx
... procedure in data analysis: new results and open problems In: H H Bock, editor, Classification and related methods of data analysis North-Holland, Amsterdam, 309–316 BOORMAN, S A and ARABIE, P ... Stochastic Models and Data Analysis, 4, 273–282 154 Kurt Hornik and Walter Böhm GORDON, A D and VICHI, M (1998): Partitions of partitions Journal of Classification, 15, 265–285 GORDON, A D and VICHI, ... Conference on Knowledge Discovery and Data Mining (KDD-2004) COHEN, W W and RICHMAN, J (2002): Learning to Match and Cluster Large HighDimensional Data Sets for Data Integration In: Proceedings...
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Data Analysis Machine Learning and Applications Episode 1 Part 7 doc
... 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 ... available the genotype and phenotype data respectively and the German Academic Exchange Service (DAAD) and Martin Vingron for providing funding for this work References Y BARASH and N FRIEDMAN (2002): ... Stalactite plots and robust estimation for the detection of multivariate outliers In: E Ronchetti, E Morgenthaler, and W Stahel (Eds.): New Directions in Statistical Data Analysis and Robustenss.,...
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Data Analysis Machine Learning and Applications Episode 1 Part 8 ppsx
... regression models After presenting data and objectives (section 2) we outline methodology and results (section 3) and finally give some conclusions (section 4) Data and objectives The University of ... contingency tables and/ or the analysis of the table obtained as juxtaposition of the initial tables (Cazes (1980) and (1981)) and the Intra Analysis (Escofier (1983)) Nevertheless, in Zárraga and Goitisolo ... correspondence analysis, the study of the similarity among the set of rows, of columns and the relations between both sets Also cite the non symmetrical analysis (D’ Ambra and Lauro (1984) and Lauro and...
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Data Analysis Machine Learning and Applications Episode 1 Part 9 doc
... 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, ... Social and Legal Sciences Area have a different behavior The Netherlands and Ireland are selected as destiny country by males and females but males also go to Belgium, the United Kingdom and Italy ... Vanacore and Jean-Francỗois Durand limits (Wu and Wang, 1997; Jones and Woodall, 1998; Liu and Tang, 1996) has been followed Multivariate control charts based on projection methods A standard multivariate...
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Data Analysis Machine Learning and Applications Episode 1 Part 10 ppt
... contingency tables In: R Coppi and S Bolasco (Eds.): Multiway Data Analysis North Holland, 301–314 LIGHT, R J and MARGOLIN, B H (1971): An analysis of variance for categorical data Journal of the American ... audio data and present the results of utilising such an alphabet Further, we show first results of combining the preprocessing step and the MCMC methods Finally the results are discussed and an ... Fathers and Sons Biometrika, 3, 4, 467–469 ROUSSON, V and GASSER, Th (2004): Simple component analysis Applied Statistics, 53, 539–555 TENENHAUS, M and YOUNG, F.W., (1985): An analysis and synthesis...
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Data Analysis Machine Learning and Applications Episode 2 Part 1 pot
... 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,...
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Data Analysis Machine Learning and Applications Episode 2 Part 2 ppsx
... label A and can only be accepted by Sa () and Sb () The third temporal interval has label B and can be accepted by Sc () and Sd () It also stands to the first A in the relation after and to the ... 2001), FSG (Kuramochi and Karypis 2001), MoSS/MoFa (Borgelt and Berthold 2002), gSpan (Yan and Han 2002), Closegraph (Yan and Han 2003), FFSM (Huan et al 2003), and Gaston (Nijssen and Kok 2004) A ... conduct the Wald test for and : W = ˆ / ˆ and W = ˆ / ˆ , where ˆ and ˆ are the estimates of the general model under consideration, and ˆ and ˆ are the estimated standard errors thereof Note...
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Data Analysis Machine Learning and Applications Episode 2 Part 3 pps
... segmentation and classification results obtained for the skin cancer data set and Section is devoted to discussions and conclusions Labelling Hyper-spectral data are highly correlated and contain ... stringranking() Candidate record pairs from data frames data1 and data2 are created and filtered according to the specified method (default: 'blocking') In case of a deduplication scenario, data2 does ... code of last name retains only 83 candidates > candidates (data1 =d1.prep, data2 =d2.prep, method='blocking',selvars1='asoundex.lname') > candidates (data1 =d1.prep, data2 =d2.prep, method='sorted', selvars1=c...
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Data Analysis Machine Learning and Applications Episode 2 Part 4 doc
... end for 7: for i = to n AND j = to n − AND k = j + to n 8: if i != j AND i != k then 9: set Z := data[ ,j] · data[ ,k] 10: estimation by lm (data[ ,i] Z) 11: if significant AND parameter estimates ... N(0, 1) IndicatorExp4 U(−1, 1) Results The case study runs in three different stages: with 1k, 10k, and 100k randomly distributed data The results are similar and can be classified into four cases: ... quantitative analysis of the map (Vesanto and Alhoniemi (2000), Lemaire and Clérot (2005)) For a complete description of the SOM properties and some applications, see (Kohonen (2001)) and (Oja and Kaski...
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Data Analysis Machine Learning and Applications Episode 2 Part 5 pps
... scheme of exploratory data analysis has been presented to give lightings on the usages of applications and daily traffic profiles Our data- mining approach, based on the analysis and the interpretation ... calculated and the most likely word is applied A more detailed introduction into context-based spelling correction can be found in Golding and Roth (1995), Golding and Roth (1999) and Al-Mubaid and ... The UIMA-Framework takes care about resource management, encapsulation of document data and analysis results and even distribution of algorithms on different machines For processing documents,...
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Data Analysis Machine Learning and Applications Episode 2 Part 6 potx
... 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 4.4 Applying data mining ... learner l, data_ inst di, dataset d, evaluation v, learner_parameter lp, learner_parval lv WHERE 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 ... this, a data analysis process consists of a pipeline of nodes, connected by edges that transport either data or models Each node processes the arriving data and/ or model(s) and produces results...
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Data Analysis Machine Learning and Applications Episode 2 Part 7 docx
... 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], ... in Analysis of Social Network Data In: M Schwaiger, and O Opitz (Eds.): Exploratory Data Analysis in Empirical Research Springer, Berlin, 149-156 SCOTT, J (1991): Social Network Analysis: A Handbook ... process and support the interpretation of results Pertaining to the classification approach (e.g U*-Matrix and subsequent U*CAlgorithm) and according to the Euclidian Distance the data need to be standardized...
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Data Analysis Machine Learning and Applications Episode 2 Part 8 docx
... guidelines of data protection, the whole process uses anonymous data and is optimised by the aggregation per regional level to the principles of data- avoidance and data- economy (Steckler and Pepels ... Adaptive Conjont Analysis: Understanding the Methodology and Assessing Reliability and Validity In: A Gustafsson, A Herrmann and F Huber (Eds.): Conjoint Measurement: Methods and Applications, ... organisation) and in order to reduce complexity in multivariate data- structures we derive relevant customer insight from the huge amount of data and aggregate the data to the relevant SCCD CLV, CLC and...
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Data Analysis Machine Learning and Applications Episode 2 Part 9 pdf
... support all-confidence {brandy, whisky} 0.011 0.23 {brandy, fruit brandy} 0.015 0.18 {fruit brandy, appetizers} 0.018 0.17 {brandy, appetizers} 0.016 0.15 {whisky, fruit brandy} 0.011 0.14 To examine ... approach is introduced and criteria for determining the number of clusters in the data are discussed The data and the results of this study are outlined in section 4, and section concludes with ... or CAIC (Andrews and Currim (2003)) Classifying Contemporary Marketing Practices 493 Empirical application 4.1 Data description and preprocessing The data are gathered in using the standardized...
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