Para Miner: a generic pattern mining algorithm for multi-core architectures
In this paper, we present Para Miner which is a generic and parallel algorithm for closed
pattern mining. Para Miner is built on the principles of pattern enumeration in strongly …
pattern mining. Para Miner is built on the principles of pattern enumeration in strongly …
Discovering gradual patterns in building operations for improving building energy efficiency
The development of information technologies has enabled real-time monitoring and controls
over building operations. Massive amounts of building operational data are being collected …
over building operations. Massive amounts of building operational data are being collected …
Debugging embedded multimedia application traces through periodic pattern mining
Increasing complexity in both the software and the underlying hardware, and ever tighter
time-to-market pressures are some of the key challenges faced when designing multimedia …
time-to-market pressures are some of the key challenges faced when designing multimedia …
A novel algorithm for searching frequent gradual patterns from an ordered data set
Mining frequent simultaneous attribute co-variations in numerical databases is also called
frequent gradual pattern problem. Few efficient algorithms for automatically extracting such …
frequent gradual pattern problem. Few efficient algorithms for automatically extracting such …
On the discovery of seasonal gradual patterns through periodic patterns mining
Gradual patterns, capturing intricate attribute co-variations expressed as” when X
increases/decreases, Y increases/decreases” in numerical data, play a vital role in …
increases/decreases, Y increases/decreases” in numerical data, play a vital role in …
A proposition for sequence mining using pattern structures
In this article we present a novel approach to rare sequence mining using pattern structures.
Particularly, we are interested in mining closed sequences, a type of maximal sub-element …
Particularly, we are interested in mining closed sequences, a type of maximal sub-element …
Mining gradual patterns in big building operational data for building energy efficiency enhancement
The advance in information technology has enabled the real-time monitoring and controls
over building operations. Massive amounts of building operational data are being collected …
over building operations. Massive amounts of building operational data are being collected …
PGLCM: efficient parallel mining of closed frequent gradual itemsets
Numerical data (eg, DNA micro-array data, sensor data) pose a challenging problem to
existing frequent pattern mining methods which hardly handle them. In this framework …
existing frequent pattern mining methods which hardly handle them. In this framework …
Pglcm: Efficient parallel mining of closed frequent gradual itemsets
Numerical data (eg, DNA micro-array data, sensor data) pose a challenging problem to
existing frequent pattern mining methods which hardly handle them. In this framework …
existing frequent pattern mining methods which hardly handle them. In this framework …
[HTML][HTML] Characterizing approximate-matching dependencies in formal concept analysis with pattern structures
J Baixeries, V Codocedo, M Kaytoue… - Discrete applied …, 2018 - Elsevier
Functional dependencies (FDs) provide valuable knowledge on the relations between
attributes of a data table. A functional dependency holds when the values of an attribute can …
attributes of a data table. A functional dependency holds when the values of an attribute can …