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[PDF] Top 20 Mining temporal patterns with quantitative intervals

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Mining temporal patterns with quantitative intervals

Mining temporal patterns with quantitative intervals

... the quantitative temporal dimension of data provides fun- damental information that should be taken into account in the mining processes and returned as part of the extracted ...browsing ... Voir le document complet

11

An Efficient Spatio-Temporal Mining Approach to Really Know Who Travels with Whom!

An Efficient Spatio-Temporal Mining Approach to Really Know Who Travels with Whom!

... spatio-temporal patterns have been proposed [1, 3, 4, 6, 11, 15, 16, 17, ...of patterns which cap- ture ’group’ or ’common’ behaviour among moving ...these patterns are flocks [1, 2], moving ... Voir le document complet

21

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

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

... presented with (A) the selected dataset, event types and users; and (B) an history of her interactions with the ...pattern mining algorithm is displayed, along with (H) the discovered frequent ... Voir le document complet

10

Moliere's Raisonneurs: a quantitative study of distinctive linguistic patterns

Moliere's Raisonneurs: a quantitative study of distinctive linguistic patterns

... sequential patterns of 3 to 5 elements are extracted. Patterns can be made of PoS Tags only, or of a mix of PoS Tags and recurring lexical elements, with possible gaps (see examples (1), (2), ... Voir le document complet

4

Using Closed n-set Patterns for Spatio-Temporal Classification

Using Closed n-set Patterns for Spatio-Temporal Classification

... data mining tasks consider- ing this data is the ability to predict and classify data to anticipate trends or failures and take adequate ...pattern mining, and classification model ...generated ... Voir le document complet

16

Mining Object Movement Patterns from Trajectory Data

Mining Object Movement Patterns from Trajectory Data

... 8.4 Discussion In this chapter, we propose a system, M ULTI _M OVE , which is designed to automatically and efficiently extract different kinds of spatio-temporal patterns at the same time. Start- ing from ... Voir le document complet

180

Data Mining Approach to Temporal Debugging of Embedded Streaming Applications

Data Mining Approach to Temporal Debugging of Embedded Streaming Applications

... data mining algo- rithms on execution traces for temporal debugging of em- bedded multimedia ...time intervals where the period of the chosen pattern is not ...of mining a competitive periodic ... Voir le document complet

11

Urban Activity Patterns Mining in Wi-Fi Access Point Logs

Urban Activity Patterns Mining in Wi-Fi Access Point Logs

... clustering with and without the principal component analysis shows a slightly better fit without it, the PCA allow to obtain a better distribution of the clustering ...time intervals and applying the same ... Voir le document complet

96

Mining Unexpected Sequential Patterns and Implication Rules

Mining Unexpected Sequential Patterns and Implication Rules

... outlier mining focuses on finding infrequent patterns in data with objective measures of interestingness, which are mostly distance-based (Angiulli & Pizzuti, 2002, 2005; Jin et al, 2001; Knorr ... Voir le document complet

21

Mining usage patterns in residential intranet of things

Mining usage patterns in residential intranet of things

... rules with support and confidence of at least ...the temporal device co-usage, without con- sidering the activity level while always-connected IPTV and phone devices are excluded from our ...possible ... Voir le document complet

7

Using Closed n-set Patterns for Spatio-Temporal Classification

Using Closed n-set Patterns for Spatio-Temporal Classification

... data mining tasks consider- ing this data is the ability to predict and classify data to anticipate trends or failures and take adequate ...pattern mining, and classification model ...generated ... Voir le document complet

15

Mining Frequent Seasonal Gradual Patterns

Mining Frequent Seasonal Gradual Patterns

... provided with a sub- sequence set of objects, called extension, supporting ...gradual patterns, whose number can be important, are often useful in several application domains for deriving new and relevant ... Voir le document complet

7

Spatio-Temporal data mining: From big data to patterns

Spatio-Temporal data mining: From big data to patterns

... collaboration with H. Alatrista Salas, S. Bringay, F. Flouvat, and N. Sel- maoui. With the dramatic growth of spatial informa- tion and Geographic Information Systems (GIS), many studies have been carried ... Voir le document complet

3

Capturing the temporal constraints of gradual patterns

Capturing the temporal constraints of gradual patterns

... pattern mining technique is a recent extension in the data mining field and its popularity as a research item has been on the rise since the early ...pattern mining approaches employ two main ... Voir le document complet

156

All in One: Mining Multiple Movement Patterns

All in One: Mining Multiple Movement Patterns

... Jeung et al.[3] adopt the DBScan algorithm[5] to find candidate convoy pat- terns. The authors propose three algorithms that incorporate trajectory simpli- fication techniques in the first step. The distance measurements ... Voir le document complet

44

Analysis of temporal patterns in animal movement networks

Analysis of temporal patterns in animal movement networks

... • Osborne, J. L., Smith, A., Clark, S. J., Reynolds, D. R., Barron, M. C., Lim, K. S., & Reynolds, A. M. (2013). The ontogeny of bumblebee flight trajectories: from naïve explorers to experienced foragers. Plos one, ... Voir le document complet

30

A Relaxation-based Approach for Mining Diverse Closed Patterns

A Relaxation-based Approach for Mining Diverse Closed Patterns

... pattern mining has moved from a slow-moving re- peated three-step process to a much more agile iterative/user-centric mining ...verse patterns to the ...user-centric mining due to its rich ... Voir le document complet

18

Event detection using images of temporal word patterns

Event detection using images of temporal word patterns

... Clusters with less than 11 words are not filtered have been widely used in many NLP ...the temporal fea- tures extracted from images and semantic features ob- tained from word ...gether with image ... Voir le document complet

7

RetweetPatterns: Detection of Spatio-Temporal Patterns of Retweets

RetweetPatterns: Detection of Spatio-Temporal Patterns of Retweets

... interoperability with other ...retrieved with appro- priate visual ...spatial, temporal, content and social dimensions in an unified ...for temporal, TF-IDF represen- tation with cosine ... Voir le document complet

11

Beyond Contagion: Reality Mining Reveals Complex Patterns of Social Influence

Beyond Contagion: Reality Mining Reveals Complex Patterns of Social Influence

... Our methodology quantified complex patterns of social influence that go beyond the conta- gion metaphor [ 21 , 27 ]. The associations we identified between social-situational aspects and transition probabilities ... Voir le document complet

16

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