Titlebook: Advances in Data Mining: Applications and Theoretical Aspects; 13th Industrial Conf Petra Perner Conference proceedings 2013 Springer-Verla

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書目名稱Advances in Data Mining: Applications and Theoretical Aspects影響因子(影響力)




書目名稱Advances in Data Mining: Applications and Theoretical Aspects影響因子(影響力)學(xué)科排名




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書目名稱Advances in Data Mining: Applications and Theoretical Aspects網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advances in Data Mining: Applications and Theoretical Aspects被引頻次




書目名稱Advances in Data Mining: Applications and Theoretical Aspects被引頻次學(xué)科排名




書目名稱Advances in Data Mining: Applications and Theoretical Aspects年度引用




書目名稱Advances in Data Mining: Applications and Theoretical Aspects年度引用學(xué)科排名




書目名稱Advances in Data Mining: Applications and Theoretical Aspects讀者反饋




書目名稱Advances in Data Mining: Applications and Theoretical Aspects讀者反饋學(xué)科排名

faultfinder

Methanol: Building Block for Chemicals,e in practice. Following a previous methodology two clustering models are generated: one corresponding to the full data set and another pertaining to the sampled data set. The resulting empirical distributions were mathematically tested by applying an algorithmic verification.

興奮過度

鉗子

https://doi.org/10.1007/978-1-4757-9589-9rder to see the relations between products chosen and preferences, data mining technique was used. Associations between products and future buying intentions were examined. High degrees of associations between products are presented. The future intentions were parallel to loyalty and satisfaction levels.

能得到

Boris Imelik,Jacques C. Vedrinelustering algorithm is also explained that categorized documents into several categories. This idea is inspired as a subfield of the area of . that tries to match document creators and users in order to find the best similarities between them and connect them for further collaborations.

fluffy

Separation by Size-Exclusion Filtration,cency, Frequency and Monetary) model. The reported evaluation indicates that proposed set of features produces a much more effective classifier than that generated using previously suggested features.

議程

0302-9743 ected from 112 submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, finance and telecommunication, in medicine and agriculture, and in process control, industry and society.978-3-642-39735-6978-3-642-39736-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

仔細(xì)閱讀

sacrum

https://doi.org/10.1007/978-3-319-01499-9ance. Adaboost.MH performs the worst, followed by Pruned Problem Transformation. Our experimental results also provide us the confidence of existing correlations among multi-labels. These insights shed light for future research directions on multi-label classifications.

良心

Catalyst Recycling Using Ionic Liquids,or the continuous value prediction. In addition, two cases of contrast rules are defined based on the associative local distribution rules. The performances of the contrast rule extraction were evaluated and the results showed that the proposed method has a potential to realize contrast analysis between two datasets.