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Sequential Pattern Mining

Sequential Pattern Mining is the process that discovers relevant patterns between data examples where the values are delivered in a sequence.

Source: Big Data Analytics for Large Scale Wireless Networks: Challenges and Opportunities

Papers

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Showing 26–39 of 39 papers

TitleStatusHype
Sign Language Recognition Using Temporal Classification—0
Wisdom of Students: A Consistent Automatic Short Answer Grading Technique—0
A Fluctuation Smoothing Approach for Unsupervised Automatic Short Answer Grading—0
Facebook 活動事件擷取系統(Facebook Activity Event Extraction System)[In Chinese]—0
Hybrid Recommender System Based on Personal Behavior Mining—0
Mining Local Process Models—0
An Efficient Algorithm for Mining Frequent Sequence with Constraint Programming—0
A Subsequence Interleaving Model for Sequential Pattern MiningCode0
A global Constraint for mining Sequential Patterns with GAP constraint—0
Using consumer behavior data to reduce energy consumption in smart homes—0
Prefix-Projection Global Constraint for Sequential Pattern Mining—0
Using Answer Set Programming for pattern mining—0
A Constraint Programming Approach for Mining Sequential Patterns in a Sequence Database—0
Coupling Knowledge-Based and Data-Driven Systems for Named Entity Recognition—0
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