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[PDF] Top 20 Sequential pattern mining on multimedia data

Has 7698 "Sequential pattern mining on multimedia data" found on our website. Below are the top 20 most common "Sequential pattern mining on multimedia data".

Sequential pattern mining on multimedia data

Sequential pattern mining on multimedia data

... 5 Conclusion In this paper, we have presented a preliminary work investigating how to use sequential pattern mining algorithms for audio data. The aim of this work was to evaluate whether ... Voir le document complet

8

A Tool for Classification of Sequential Data

A Tool for Classification of Sequential Data

... behaviours will be classified as contradictory. Other works of mining in FCA include the mining of sequences in [4] and of graphs in [5]. In [6], the authors defined emerging patterns as patterns appearing ... Voir le document complet

9

Interaction in Progressive Visual Analytics. An application to progressive sequential pattern mining

Interaction in Progressive Visual Analytics. An application to progressive sequential pattern mining

... explore data to answer precise ...complete data, which supports the fact that Progressive Visual Analytics does not lead to worse results than classical analysis ... Voir le document complet

188

Mining Heterogeneous Multidimensional Sequential Patterns

Mining Heterogeneous Multidimensional Sequential Patterns

... super pattern of a non- frequent pattern cannot be ...of sequential databases and do not deal with the multidimensional aspect where items can be of different types and described over different ... Voir le document complet

29

Using Answer Set Programming for pattern mining

Using Answer Set Programming for pattern mining

... a data scientist would like to express a lot of domain-specific con- straints reflecting his own knowledge and ...classical sequential pattern mining algorithm in ASP with the future objective ... Voir le document complet

19

CMRules: Mining sequential rules common to several sequences

CMRules: Mining sequential rules common to several sequences

... of data mining, one of the most popular techniques for discovering temporal relations in discrete time series is sequential pattern mining (SPM) [ 2, 20, 21, 22 ...find ... Voir le document complet

18

What About Sequential Data Mining Techniques to Identify Linguistic Patterns for Stylistics?

What About Sequential Data Mining Techniques to Identify Linguistic Patterns for Stylistics?

... The pattern some*more*than  allows the identi a- tion of two sequen es, among others, where the rst gap is lled with a dierent number of words (see Table 4): in the rst one, the word bites lls the gap ... Voir le document complet

13

Using sequential pattern mining to explore learners' behaviors and evaluate their correlation with performance in inquiry-based learning

Using sequential pattern mining to explore learners' behaviors and evaluate their correlation with performance in inquiry-based learning

... on data collected from an experimenta- tion conducted in an authentic learning context, aimed at revealing relationships between learners’ behaviors during practical learning situations, and their acad- emic ...a ... Voir le document complet

15

Mining Unexpected Sequential Patterns and Rules

Mining Unexpected Sequential Patterns and Rules

... Abstract Sequential pattern mining is the one most concentrated and applied in sequence mining research, it gives a frequency based view of the cor- relations between elements contained in the ... Voir le document complet

15

Mining Multi-Dimensional and Multi-Level Sequential Patterns

Mining Multi-Dimensional and Multi-Level Sequential Patterns

... for mining sequential pat- terns (mainly in time-related data), most of them being Apriori-like, ...nonfrequent pattern cannot be fre- ... Voir le document complet

36

Using sequential pattern mining to explore learners' behaviors and evaluate their correlation with performance in inquiry-based learning

Using sequential pattern mining to explore learners' behaviors and evaluate their correlation with performance in inquiry-based learning

... to data collected from an experimen- tation conducted with our remote lab dedicated to computer education, we discover recurrent sequential patterns of actions that lead us to the definition of learning ... Voir le document complet

16

Multimedia data mining for automatic diabetic retinopathy screening

Multimedia data mining for automatic diabetic retinopathy screening

... A. Microaneurysm Detection Two MA detectors are used in TeleOphta: the first one is based on mathematical morphology [8], the second is based on template matching in wavelet spaces [9]. New efforts were mostly directed ... Voir le document complet

5

From Collaborative to Privacy Preserving Sequential Pattern Mining

From Collaborative to Privacy Preserving Sequential Pattern Mining

... distributed data mining wherein, collabo- rating parties may be legally bound not to reveal the private information of their ...the sequential pat- tern discovery problem in a collaborative framework ... Voir le document complet

23

Progressive sequential pattern mining: steerable visual exploration of patterns with PPMT

Progressive sequential pattern mining: steerable visual exploration of patterns with PPMT

... progressive sequential pattern mining, as in the seminal work of Stolper et ...a pattern-oriented data model, a pattern analysis task model, and guidelines for designing ... Voir le document complet

10

The Virtual Boutique: multimedia retrieval and data mining for e-commerce and e-business in the framework of a virtual environment

The Virtual Boutique: multimedia retrieval and data mining for e-commerce and e-business in the framework of a virtual environment

... In the first case, a sequential shopping paradigm is used. The results are displayed in a sequential manner. The consumer selects an object and asks for similar or related objects. The boutique determines ... Voir le document complet

19

Mining Unexpected Sequential Patterns and Implication Rules

Mining Unexpected Sequential Patterns and Implication Rules

... effectively mining sequential patterns (Ayres et al, 2002; Li et al, 2007; Masseglia et al, 1998; Pei et al, 2004; Srikant & Agrawal, 1996; Zaki, 2001) and the variances (Garofalakis et al, 1999; Lo et ... Voir le document complet

21

MultiCons: Multiple Consensus Clustering Method Using Frequent Closed Pattern Mining

MultiCons: Multiple Consensus Clustering Method Using Frequent Closed Pattern Mining

... Abstract. Clustering, which aim is to identify groups of similar in- stances in a dataset, is one of the important tasks in data mining. Many clustering algorithms were developed in the last 50 years. ... Voir le document complet

20

Heterogeneous Graph Mining for Biological Pattern Discovery in Metabolic Pathways

Heterogeneous Graph Mining for Biological Pattern Discovery in Metabolic Pathways

... telecommunications, social interactions and biological processes, to cite but a few exam- ples. Two networks are said to be heteroge- neous if they present different types of informa- tion modeling the same entity. ... Voir le document complet

6

Computerized bibliography system, sequential data organization

Computerized bibliography system, sequential data organization

... L’accès à ce site Web et l’utilisation de son contenu sont assujettis aux conditions présentées dans le site LISEZ CES CONDITIONS ATTENTIVEMENT AVANT D’UTILISER CE SITE WEB. Report (Nati[r] ... Voir le document complet

178

Visualization techniques for data mining

Visualization techniques for data mining

... a data mining tool ...the data covered by them may be accomplished through the use of scatter plots and box ...of data covered by a rule in one color and the points not covered by another ... Voir le document complet

16

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