Results 31 to 40 of about 312,970 (308)
A pattern growth-based sequential pattern mining algorithm called prefixSuffixSpan
Sequential pattern mining is an important data mining problem widely addressed by the data mining community, with a very large field of applications. The sequence pattern mining aims at extracting a set of attributes, shared across time among a large ...
Kenmogne Edith Belise +2 more
doaj +1 more source
Hiding Sequential and Spatiotemporal Patterns
The process of discovering relevant patterns holding in a database was first indicated as a threat to database security by O'Leary in [1]. Since then, many different approaches for knowledge hiding have emerged over the years, mainly in the context of association rules and frequent item sets mining.
Giannotti F, Bonchi F, Abul O
openaire +4 more sources
Mining Weighted Sequential Patterns Based on Prefix-Tree and Prism Encoding
The purpose of mining sequential patterns problem with weighted constraints is to find high-valued patterns, including infrequent patterns but having items which appear in the pattern of high importance in the sequence database (SD).
Thi-Thiet Pham +4 more
doaj +1 more source
High average-utility sequential pattern mining based on uncertain databases
emergence and proliferation of the internet of things (IoT) devices have resulted in the generation of big and uncertain data due to the varied accuracy and decay of sensors and their different sensitivity ranges.
Zhang, Ji +4 more
core +1 more source
The field of data mining is progressing rapidly presenting researchers with many opportunities for research. Sequential pattern mining is a popular and long established technique in data mining which extracts data in the form of sequential patterns ...
Ritika, Sunil Kumar Gupta
doaj +1 more source
Mining hybrid sequential patterns and sequential rules
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yen-Liang Chen +2 more
openaire +2 more sources
In the present paper is constructed a Generalized net model of a process of sequential pattern mining by a generalized sequential pattern algorithm. Sequence pattern mining is a technique used for predictive data mining.
Bureva, V. +5 more
core +1 more source
A Non-Sequential Representation of Sequential Data for Churn Prediction [PDF]
We investigate the length of event sequence giving best predictions when using a continuous HMM approach to churn prediction from sequential data. Motivated by observations that predictions based on only the few most recent events seem to be the most ...
Eastwood, Mark +4 more
core +1 more source
Location-Based Parallel Sequential Pattern Mining Algorithm
Given a data sequence, sequential pattern mining, which finds frequent sequence patterns among them, is an important data mining problem. However, in the existing sequential pattern mining, only the purchase order of the items is considered, and the ...
Byoungwook Kim, Gangman Yi
doaj +1 more source
Pattern recognition in neural networks with competing dynamics: coexistence of fixed-point and cyclic attractors. [PDF]
We study the properties of the dynamical phase transition occurring in neural network models in which a competition between associative memory and sequential pattern recognition exists.
José L Herrera-Aguilar +2 more
doaj +1 more source

