[PDF] Top 20 A Relaxation-based Approach for Mining Diverse Closed Patterns
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A Relaxation-based Approach for Mining Diverse Closed Patterns
... of mining sets of diverse patterns has been addressed in the recent liter- ature, both to offer more interesting results and to speed up the mining ...beam for subgroup discovery not ... Voir le document complet
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A Prime Number Based Approach for Closed Frequent Itemset Mining in Big Data
... Abstract. Mining big datasets poses a number of challenges which are not easily addressed by traditional mining methods, since both memory and computational requirements are hard to ...solution ... Voir le document complet
9
Discovering linguistic patterns using sequence mining
... work). A promising avenue is the trade-off coming from the cross-fertilization of infor- mation extraction and machine learning techniques which aims at automatically learn- ing linguistic resources such as ... Voir le document complet
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Mining Representative Movement Patterns through Compression
... top-K patterns as dictionaries for encoding the ...of patterns in F . For each individual pattern type, compression gain is calculated according to the greedy encoding scheme used for ... Voir le document complet
13
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 ...present a classification approach, called Closed ... Voir le document complet
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Mining Unexpected Sequential Patterns and Rules
... 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 ...data ... Voir le document complet
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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 ...present a classification approach, called Closed ... Voir le document complet
15
A Process Mining Based Approach to Support Decision Making
... is a decision-based activity carried out by a supervisor to survey the progress of an industrial ...is a business process that produces an action, depending on both the supervision result and ... Voir le document complet
11
A Semantic Rule-Based Approach Supported by Process Mining for Personalised Adaptive Learning
... used for educational and training purposes within various organisations including, schools, universities and further education ...been a big gap between the extraction of useful patterns from data ... Voir le document complet
9
A Hybrid Approach for Mining Metabolomic Data
... propose a knowledge discovery process which is based on a combination of numeric-symbolic techniques for dierent purposes, such as noise ltration for avoiding over tting which occurs ... Voir le document complet
11
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. ... Voir le document complet
7
PGLCM: efficient parallel mining of closed frequent gradual itemsets
... algorithm for computing closed frequent itemsets, as shown by the results of the FIMI’04 competition (Goethals, ...exhibit a complexity proven linear with the number of closed frequent ... Voir le document complet
35
A novel MapReduce-based approach for distributed frequent subgraph mining
... algorithm for finding patterns from a complex and large ...by a MapReduce pass. In each MapReduce pass, the task is divided into a number of sub-tasks of the same size and each sub-task ... Voir le document complet
8
A closed patterns-based approach to the consensus clustering problem
... clustering, a cluster is defined as a dense region in the data space, separated from other clusters by regions which density is ...(Density Based Spatial Cluster- ing of Applications with Noise) [ ... Voir le document complet
137
Mining Multi-Relational Gradual Patterns
... itemset mining can be used for multi-relational data if applied on the join of all ...of patterns essentially is itemsets such that items are attribute values and transactions are the tuples of the ... Voir le document complet
10
Mining Frequent Seasonal Gradual Patterns
... hard for exploitation by a ...with a sub- sequence set of objects, called extension, supporting ...gradual patterns, whose number can be important, are often useful in several application ... Voir le document complet
7
Mining Heterogeneous Multidimensional Sequential Patterns
... had a Lung cancer they underwent chemotherapy during their ...of patterns for which support is over ...session for neoplasm") have been ...in a sufficient proportion of trajectories ... Voir le document complet
29
A novel interface for audio based sound data mining
... • the name of each sound which has been heard. • the time at which each sound has been heard. 3.4 Apparatus A crowd sourcing approach has been adopted. The experiment was designed to be supported by the ... Voir le document complet
9
A fast compound algorithm for mining generators, closed itemsets, and computing links between equivalence classes
... pattern mining and association rule mining, there is a variety of algo- rithms for mining frequent closed itemsets (FCIs) and frequent generators (FGs), whereas a smaller ... Voir le document complet
26
A Theory for Sparse Event-Based Closed Loop Control
... Figure 3A presents the results of the simulation when a unitary step (the setpoint of the system goes from zero to one) is applied to the controlled system 100 ms after the beginning of the simulation. The base of ... Voir le document complet
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