標題: Titlebook: Data Analysis and Decision Support; Daniel Baier (Chair of Marketing and Innovation Ma Book 2005 Springer-Verlag Berlin Heidelberg 2005 Pl [打印本頁] 作者: Malicious 時間: 2025-3-21 20:06
書目名稱Data Analysis and Decision Support影響因子(影響力)
書目名稱Data Analysis and Decision Support影響因子(影響力)學科排名
書目名稱Data Analysis and Decision Support網(wǎng)絡公開度
書目名稱Data Analysis and Decision Support網(wǎng)絡公開度學科排名
書目名稱Data Analysis and Decision Support被引頻次
書目名稱Data Analysis and Decision Support被引頻次學科排名
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書目名稱Data Analysis and Decision Support讀者反饋
書目名稱Data Analysis and Decision Support讀者反饋學科排名
作者: minimal 時間: 2025-3-22 00:12 作者: Keshan-disease 時間: 2025-3-22 01:18
Book 2005search, probability theory, sampling theory, cluster analysis, scaling and multivariate data analysis. His activities have been directed not only at these and other theoretical topics, but also at applications of statistical and mathematical tools to a multitude of important problems in computer sci作者: 無動于衷 時間: 2025-3-22 05:56 作者: Foolproof 時間: 2025-3-22 10:23 作者: –LOUS 時間: 2025-3-22 14:22 作者: –LOUS 時間: 2025-3-22 20:05
Daniel Baier (Chair of Marketing and Innovation MaIncludes supplementary material: 作者: Interstellar 時間: 2025-3-22 22:32
Studies in Classification, Data Analysis, and Knowledge Organizationhttp://image.papertrans.cn/d/image/262651.jpg作者: abreast 時間: 2025-3-23 01:38
Data Analysis and Decision Support978-3-540-28397-3Series ISSN 1431-8814 Series E-ISSN 2198-3321 作者: 圖畫文字 時間: 2025-3-23 06:58 作者: 蛙鳴聲 時間: 2025-3-23 10:16
Susanne Komfort-Hein,Heinz Drüghodel. The new g-inverses lead to two simple effects in a two-way ANOVA model: column means and adjusted row means or vice versa: row means and adjusted column means. For the F- Test this parameterizations is invariant.作者: aqueduct 時間: 2025-3-23 16:45 作者: 抓住他投降 時間: 2025-3-23 20:15
A Diversity Measure for Tree-Based Classifier Ensemblesomponent classifiers, because many experiments showed that unrelated members form an ensemble of high accuracy..In this paper we propose a new pairwise measure of diversity for classifier ensembles based on Hamann’s similarity coefficient.作者: Defiance 時間: 2025-3-23 22:53 作者: AFFIX 時間: 2025-3-24 06:01
Clustering Including Dimensionality Reductionhodologies are considered. The first are based on the simultaneous clustering of each mode of the observed multi-way data. The second are based on a clustering of the object mode to obtain mean profiles (centroids) and a factorial reduction of the other modes. These methodologies are described by a real application.作者: exceed 時間: 2025-3-24 08:46 作者: Consensus 時間: 2025-3-24 14:15
Christian Faith and University Lifee modeling, multicollinearity resolution, etc. However, while its optimal properties make PCA solutions unique, interpreting the results of such analyses can be problematic. A plethora of rotation methods are available for such interpretive uses, but there is no theory as to which rotation method sh作者: Wallow 時間: 2025-3-24 17:50
Formation and Christian Education in Englandfor an observed variable, an observed value for the aggregated statistical units we treat here may be multivalued. Our aim is to describe a partition of this class of statistical units by further partitioning it, where each class of the partition is described by a conjunction of characteristic prope作者: 嫻熟 時間: 2025-3-24 20:03
https://doi.org/10.1007/978-3-319-62803-5omponent classifiers, because many experiments showed that unrelated members form an ensemble of high accuracy..In this paper we propose a new pairwise measure of diversity for classifier ensembles based on Hamann’s similarity coefficient.作者: 流浪 時間: 2025-3-25 00:22
,Blake: ‘The Little Black Boy’ and ,can construct a two-sided confidence interval for the parameter of interest after each realized sequential stage. Provided that in each sequential stage an unbiased estimate of the parameter of interest is available, the repeated confidence intervals always hold the nominal confidence level even in 作者: 四溢 時間: 2025-3-25 04:22 作者: G-spot 時間: 2025-3-25 09:22 作者: 焦慮 時間: 2025-3-25 11:43
Susanne Komfort-Hein,Heinz Drüghg with so-called “ideal” points. In this model, the distance between an “ideal” point and object points are related to the degree of individual preferential choice data for objects. However, the unfolding model has some difficulties, degeneracies, indeterminacies and multidimensionality problems in 作者: 我邪惡 時間: 2025-3-25 16:48
Christian Krachts Mikro?sthetiks. Most results in model-based clustering were obtained under multivariate normal distribution. In the paper we propose to adopt other approach, namely copula analysis in model-based clustering. Two possible stochastic approaches, namely classification approach and mixture approach, are considered a作者: 豐滿中國 時間: 2025-3-25 23:59 作者: 季雨 時間: 2025-3-26 03:37
Christian Krachts Mikro?sthetikriate normal distribution has only three parameters, mean, variance and linear correlation, the use of the normal distribution as an analytical framework leads to what we call linear analysis. This paper starts with discarding the normal distribution assumption, and then advocates total reliance on 作者: 稱贊 時間: 2025-3-26 06:06
Christian Kracht’s Micro-aestheticsresponses constitute a set of matrices, each comes from a manager. Each matrix is transformed to a matrix of geodesic distances from row to column managers. The set of geodesic distance matrices was analyzed by the asymmetric multidimensional scaling. The result represents the hierarchical structure作者: Iatrogenic 時間: 2025-3-26 11:52 作者: 憤慨一下 時間: 2025-3-26 12:51 作者: circuit 時間: 2025-3-26 19:03
Susanne Komfort-Hein,Heinz Drügherent German (meta) search engines to describe some general patterns of search queries such as the percentage of operators used in search queries, length of queries and number of queries per time unit (days or hours). We also analyze the frequencies of queries and terms respectively. In addition, we作者: 察覺 時間: 2025-3-26 22:23
https://doi.org/10.1007/978-3-476-05958-1lat only faintly. But algorithms for other pattern domains as sequences etc. typically are built on top of the basic algorithms and thus cannot participate in improvements for highly specialized algorithms for itemsets..Therefore, we would like to investigate different properties of a basic depth-fi作者: Contort 時間: 2025-3-27 01:32 作者: Feature 時間: 2025-3-27 08:48 作者: Expertise 時間: 2025-3-27 10:49 作者: 試驗 時間: 2025-3-27 17:11 作者: GEAR 時間: 2025-3-27 19:55
Susanne Komfort-Hein,Heinz Drüghential choice data for objects. However, the unfolding model has some difficulties, degeneracies, indeterminacies and multidimensionality problems in application to real data. In this paper, we propose a parametric unfolding model for aggregated choice data by introducing the attractiveness of objects.作者: 嚴厲批評 時間: 2025-3-28 01:20 作者: Scintillations 時間: 2025-3-28 03:42 作者: CAGE 時間: 2025-3-28 07:37
Christian Kracht’s Micro-aestheticsagers. The set of geodesic distance matrices was analyzed by the asymmetric multidimensional scaling. The result represents the hierarchical structure of the firm. The dimensions for symmetric relationships represent differences among departments, and those for asymmetric relationships represent differences within and between supervisors.作者: 最高峰 時間: 2025-3-28 12:56
Christian Kracht’s Micro-aestheticsity values to pairs of relations lead to the majority rule with constraints. In comparison with Borda’s scoring method, which directly generates an aggregation being a complete preorder, the results are sometimes different.作者: Default 時間: 2025-3-28 16:07
An Unfolding Scaling Model for Aggregated Preferential Choice Dataential choice data for objects. However, the unfolding model has some difficulties, degeneracies, indeterminacies and multidimensionality problems in application to real data. In this paper, we propose a parametric unfolding model for aggregated choice data by introducing the attractiveness of objects.作者: 嫌惡 時間: 2025-3-28 21:44 作者: Lobotomy 時間: 2025-3-29 02:58 作者: Complement 時間: 2025-3-29 04:07
Asymmetric Multidimensional Scaling of Relationships Among Managers of a Firmagers. The set of geodesic distance matrices was analyzed by the asymmetric multidimensional scaling. The result represents the hierarchical structure of the firm. The dimensions for symmetric relationships represent differences among departments, and those for asymmetric relationships represent differences within and between supervisors.作者: intoxicate 時間: 2025-3-29 10:44
Aggregation of Ordinal Judgements Based on Condorcet’s Majority Ruleity values to pairs of relations lead to the majority rule with constraints. In comparison with Borda’s scoring method, which directly generates an aggregation being a complete preorder, the results are sometimes different.作者: 紅潤 時間: 2025-3-29 13:06
,George MacDonald’s Fairy Tales,n) are compared to fuzzy FPCs where outliers are smoothly downweighted. An algorithm to find substantial crisp and fuzzy FPCs is proposed, the results of a simulation study and a data example are discussed.作者: HERE 時間: 2025-3-29 16:39 作者: 江湖騙子 時間: 2025-3-29 20:11 作者: EVEN 時間: 2025-3-30 01:58 作者: Cpap155 時間: 2025-3-30 06:02
https://doi.org/10.1007/978-3-476-03925-5pplied is then evaluated, showing that all algorithms are pretty well able to recover the original classification, if no perturbations are applied on the data base. Otherwise, considerable performance differences can be shown.作者: Prognosis 時間: 2025-3-30 09:45 作者: 共和國 時間: 2025-3-30 14:43
Optimization in Symbolic Data Analysis: Dissimilarities, Class Centers, and Clusteringtering algorithm. Moreover, and as a first step to probabilistically based results in SDA, we consider the definition and determination of set-valued class ‘centers’ in SDA and relate them to theorems on the ‘a(chǎn)pproximation of distributions by sets’.作者: integrated 時間: 2025-3-30 17:08 作者: 抑制 時間: 2025-3-30 22:53
Fuzzy and Crisp Mahalanobis Fixed Point Clustersn) are compared to fuzzy FPCs where outliers are smoothly downweighted. An algorithm to find substantial crisp and fuzzy FPCs is proposed, the results of a simulation study and a data example are discussed.作者: GOAD 時間: 2025-3-31 02:16
Interpretation Aids for Multilayer Perceptron Neural Netsshare analysis and choice modeling. We suggest two different interpretation aids allowing to gain insight into predictors’ effects which both require that parameters of the MLP have already been estimated.作者: 浸軟 時間: 2025-3-31 07:57 作者: INCH 時間: 2025-3-31 12:10
Performance Drivers for Depth-First Frequent Pattern Miningrst search algorithm, Eclat, and identify its performance drivers. We view Eclat as a basic algorithm and a bundle of optional algorithmic features that are taken partly from other algorithms like 1cm and Apriori, partly new ones. We evaluate the performance impact of these different features and identify the best configuration of Eclat.作者: 廣告 時間: 2025-3-31 15:46 作者: Pessary 時間: 2025-3-31 20:13 作者: 藐視 時間: 2025-4-1 01:17 作者: 停止償付 時間: 2025-4-1 03:15 作者: GULF 時間: 2025-4-1 06:39
Steve Donaldson,Ron Cole-Turner the optimal number of clusters by means of the .-criterion. This cluster solution proves to be rather similar to the one we obtain by applying the neural network approach. To evaluate the clusters, we use association rules. By testing these rules, we show the differences of patterns underlying particular market segments.作者: 乞討 時間: 2025-4-1 13:50
A Tree Structured Classifier for Symbolic Class Descriptiondiscrimination criterion given by a prior partition and a homogeneity criterion; we also aim to insure that the descriptions obtained describe the units in the class to describe and not the rest of the population. We present a real example.
