[PDF] Top 20 Mining Unexpected Sequential Patterns and Implication Rules
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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
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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
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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
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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
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Assessing the interestingness of temporal rules with Sequential Implication Intensity
... of sequential rules (generally temporal ...pattern mining algorithms are unsupervised and can produce huge amounts of ...sequential rules. Continuing with our work on the ... Voir le document complet
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Discovering linguistic patterns using sequence mining
... extraction and machine learning techniques which aims at automatically learn- ing linguistic resources such as lexicons or patterns ...extraction rules [3] but uses annotated corpora difficult to ... Voir le document complet
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CMRules: Mining sequential rules common to several sequences
... 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 sequential ... Voir le document complet
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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
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Mining Heterogeneous Multidimensional Sequential Patterns
... extract rules such as: “After buying an article from the fruit category from supermarket A, a customer will buy two articles from the Egg and Dairy products and Beverage categories from supermarket ... Voir le document complet
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Abductive Workflow Mining using Binary Resolution on Task Successor Rules
... workflow mining is introduced, which refers to the process of discovering important workflows from event logs that are believed to cause or explain certain ...workflow mining where there are critical tasks ... Voir le document complet
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A Fuzzy Close Algorithm for Mining Fuzzy Association Rules
... iteration, and than UBFFPT, which browses all the paths to the currently studied item 1 to generate ...correlated and another algorithm may perform ...correlated and our algorithm will then compute ... Voir le document complet
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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
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Unexpected evolutionary patterns of dental ontogenetic traits in cetartiodactyl mammals
... size and life history have occurred in parallel during evolution, with various skeletal or ontogenetic modifications ...observations, and ecological factors may play a role [51, ... Voir le document complet
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Mining Object Movement Patterns from Trajectory Data
... Trajectory Mining on Diverse Applications 9.6.1 Social Networks and Social Media Social networks and social media are prevalent on the Internet and have become an active research topic ... Voir le document complet
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Bolzano, (the appropriate) relevant logic and ground-ing rules for implication
... Relevant implication together with relevant logic, which have already been introduced in the previous sections, are the last account that we ...antecedent and consequent are on the same ...theorems ... Voir le document complet
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Mining bases for association rules using closed sets
... usefulness and the relevance of the set of discovered association ...association rules, that are non-redundant gener- ating sets for all association ... Voir le document complet
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All in One: Mining Multiple Movement Patterns
... r i ∩ r i+1 = r i+1 . We can consider that the LCM is very efficient when it is applied on dense resp. (fully) nested datasets and blocks. Let E be the universe of items, consisting of items 1, . . . , n. A ... Voir le document complet
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A virtual reality-based approach for interactive and visual mining of association rules
... proposed and evaluated: Circular menus: are widely used in ...Kurtenbach and Buxton 1994 [175] proposed a technique that selects a menu item in a circular motion in one ...hierarchical and then ... Voir le document complet
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Mining aeronautical data by using visualized driven rules extraction approach
... algorithmic and a manual ...association rules extracted with ...settings and selections, in order to obtain the best view of the ...association rules that focus on the displayed data ... Voir le document complet
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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
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