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[PDF] Top 20 Mining Unexpected Sequential Patterns and Rules

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Mining Unexpected Sequential Patterns and Rules

Mining Unexpected Sequential Patterns and Rules

... to unexpected association rule mining presented by [4], a belief is represented as a rule with the form X → Y , and a rule A → B is unexpected to the belief X → Y if: (a) B and Y ... Voir le document complet

15

Mining Unexpected Sequential Patterns and Implication Rules

Mining Unexpected Sequential Patterns and Implication Rules

... data mining, which are classified into two categories: the objective measures based on the statistical frequency or properties of discovered patterns, and the subjective measures based on the domain ... Voir le document complet

21

Discovery of Unexpected Sequences: from Sequential Patterns to Implication Rules

Discovery of Unexpected Sequences: from Sequential Patterns to Implication Rules

... efficient and effective sequential pat- tern mining algorithms [AS95, SA96b, MCP98, GRS99, PHMAP01, Zak01, AFGY02, YHA03, PHMA + 04, WH04, LLT07, PHW07, WHL07, RCP08, ...With sequential ... Voir le document complet

201

Mining Multi-Dimensional and Multi-Level Sequential Patterns

Mining Multi-Dimensional and Multi-Level Sequential Patterns

... Multi-Level Rules The work in [Srikant and Agrawal 1996] introduces the hierarchy management in the ex- traction of association rules and sequential ...association rules or ... Voir le document complet

36

Discovering Novelty in Gene Data : From Sequential Patterns to Visualization

Discovering Novelty in Gene Data : From Sequential Patterns to Visualization

... Data mining techniques allow users to discover novelty in huge amounts of ...extracted patterns are often too numerous and thus diffi- cult to analyse by ...on sequential pattern mining ... Voir le document complet

11

Mining association rules for the quality improvement of the production process

Mining association rules for the quality improvement of the production process

... applications, and are well ...Eclat and FP-growth is the way they count the support of every candidate itemset and how they represent and maintain the i-projected ...Apriori and ... Voir le document complet

13

Moving Objects: Combining Gradual Rules and Spatial-Temporal Patterns

Moving Objects: Combining Gradual Rules and Spatial-Temporal Patterns

... Such rules have been studied for a long time and recently scalable algorithms have been proposed to address this ...However, mining gradual patterns remains challenging in mobile object ... Voir le document complet

7

Mining usage patterns in residential intranet of things

Mining usage patterns in residential intranet of things

... are mining frequent sets of n-tuples (D 1 × ...extracting patterns under the form of closed n-sets 7 : H = [X 1 , ...U, and (b) X i sets cannot be enlarged without violating condition ...for ... Voir le document complet

7

Mining Multi-Relational Gradual Patterns

Mining Multi-Relational Gradual Patterns

... Gradual patterns highlight covariations of attributes of the form “The more/less X, the more/less ...gradual patterns” is defined on the basis of both Kendall’s τ and gradual ...Miner and gRGP ... Voir le document complet

10

Mining association rules using frequent closed itemsets

Mining association rules using frequent closed itemsets

... (2000). Mining frequent closed itemsets with counting ...Efficiently mining long patterns from ...(1999). Mining the most interesting ...rule mining in large, dense databases. Data ... Voir le document complet

7

Using Function Words for Authorship Attribution: Bag-Of-Words vs. Sequential Rules

Using Function Words for Authorship Attribution: Bag-Of-Words vs. Sequential Rules

... to Sequential R ules of Functions ...to sequential infor- mation, outperform features extracted using sequential rule mining ...syntactic and the lexical differences between narrative ... Voir le document complet

10

Assessing the interestingness of temporal rules with Sequential Implication Intensity

Assessing the interestingness of temporal rules with Sequential Implication Intensity

... to sequential rules where the episodes a and b are two single ...Toivonen, and Verkamo ...sequence and compute SII, one only needs to apply their episode mining algorithm named ... Voir le document complet

18

From Collaborative to Privacy Preserving Sequential Pattern Mining

From Collaborative to Privacy Preserving Sequential Pattern Mining

... databases and subsequently in privacy enhancement technologies have witnessed an explosive growth-spurt in recent ...collecting and disbursing their Personally Identifiable Infor- mation ...data ... Voir le document complet

23

Discovering linguistic patterns using sequence mining

Discovering linguistic patterns using sequence mining

... lemma) and not only a single information. Thus the ex- tracted patterns combine different levels of abstraction ...tags) and express information according to different levels of genericity, for ... Voir le document complet

13

Spatio-Temporal data mining: From big data to patterns

Spatio-Temporal data mining: From big data to patterns

... the development of traffic planning in large cities according to vehicle- flows. Other application do- mains include socio-economic geography, sports (e.g. football players), fishing control and weather forecast- ... Voir le document complet

3

Mining temporal patterns with quantitative intervals

Mining temporal patterns with quantitative intervals

... linear sequential notion of ...the mining processes and returned as part of the extracted ...browsing patterns can be refined by the time spent to explore the web ...page and the ... Voir le document complet

11

A Relaxation-based Approach for Mining Diverse Closed Patterns

A Relaxation-based Approach for Mining Diverse Closed Patterns

... search and the number of patterns in the set limited, [7] where the constraint-based item- set mining constraint is adapted to the pattern set settings, [5], which exploit bounds on predicting the ... Voir le document complet

18

Mining aeronautical data by using visualized driven rules extraction approach

Mining aeronautical data by using visualized driven rules extraction approach

... Data Mining aims at researching relevant information from a huge vol- ume of ...of patterns matching specific ...Data Mining which helps the specialist to focus on specific ar- eas of data that may ... Voir le document complet

13

GenMiner: mining informative association rules from genomic data

GenMiner: mining informative association rules from genomic data

... association rules discovery is the thresholds for selecting significative ...Support and confidence are computed while rules are extracted from the dataset, and are, in many cases, the only ... Voir le document complet

9

Mining Frequent Seasonal Gradual Patterns

Mining Frequent Seasonal Gradual Patterns

... gradual patterns, (the latter term proposed by [17]) but always associated to the same sub-sequence of objects in all value ...such patterns in the e-commerce domain where it is very important to understand ... Voir le document complet

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