Papers Sequential Pattern Mining
“Sequential Pattern Mining” 태그가 달린 논문 44편 · 필터 해제
Supervised sequential pattern mining of event sequences in sport to identify important patterns of play: an application to rugby union
Given a set of sequences comprised of time-ordered events, sequential pattern mining is useful to identify frequent subsequences from different sequences or within the same sequence. However, in sport, these techniques c…
Sequential Pattern MiningDrive Safe: Cognitive-Behavioral Mining for Intelligent Transportation Cyber-Physical System
This paper presents a cognitive behavioral-based driver mood repairment platform in intelligent transportation cyber-physical systems (IT-CPS) for road safety. In particular, we propose a driving safety platform for dist…
Activity RecognitionSequential Pattern MiningDeep learning-based sequential pattern mining for progressive database
Sequential pattern mining (SPM) is one of the main application areas in the field of online business, e-commerce, bioinformatics, etc. The traditional approaches in SPM are unable to accurately mine the huge volume of da…
Deep LearningSequential Pattern MiningTime SeriesTime Series AnalysisHigh Utility Interval-Based Sequences
Sequential pattern mining is an interesting research area with broad range of applications. Most prior research on sequential pattern mining has considered point-based data where events occur instantaneously. However, in…
Sequential Pattern MiningVocal Bursts Intensity PredictionCASTER: Predicting Drug Interactions with Chemical Substructure Representation
Adverse drug-drug interactions (DDIs) remain a leading cause of morbidity and mortality. Identifying potential DDIs during the drug design process is critical for patients and society. Although several computational mode…
Dictionary LearningDrug DesignSequential Pattern MiningConstraint-based Sequential Pattern Mining with Decision Diagrams
Constrained sequential pattern mining aims at identifying frequent patterns on a sequential database of items while observing constraints defined over the item attributes. We introduce novel techniques for constraint-bas…
Sequential Pattern MiningSemi-Automatic Construction of Word-Formation Networks (for Polish and Spanish)
Mining Non-Redundant Local Process Models From Sequence Databases
Sequential pattern mining techniques extract patterns corresponding to frequent subsequences from a sequence database. A practical limitation of these techniques is that they overload the user with too many patterns. Loc…
Sequential Pattern MiningEfficiency Analysis of ASP Encodings for Sequential Pattern Mining Tasks
This article presents the use of Answer Set Programming (ASP) to mine sequential patterns. ASP is a high-level declarative logic programming paradigm for high level encoding combinatorial and optimization problem solving…
Sequential Pattern MiningDeclarative Sequential Pattern Mining of Care Pathways
Sequential pattern mining algorithms are widely used to explore care pathways database, but they generate a deluge of patterns, mostly redundant or useless. Clinicians need tools to express complex mining queries in orde…
Sequential Pattern MiningSign Language Recognition Using Temporal Classification
Devices like the Myo armband available in the market today enable us to collect data about the position of a user's hands and fingers over time. We can use these technologies for sign language translation since each sign…
ClassificationGeneral ClassificationPositionSequential Pattern Mining+3A Fluctuation Smoothing Approach for Unsupervised Automatic Short Answer Grading
We offer a fluctuation smoothing computational approach for unsupervised automatic short answer grading (ASAG) techniques in the educational ecosystem. A major drawback of the existing techniques is the significant effec…
automatic short answer gradingSequential Pattern MiningWisdom of Students: A Consistent Automatic Short Answer Grading Technique
Facebook 活動事件擷取系統(Facebook Activity Event Extraction System)[In Chinese]
Hybrid Recommender System Based on Personal Behavior Mining
Recommender systems are mostly well known for their applications in e-commerce sites and are mostly static models. Classical personalized recommender algorithm includes item-based collaborative filtering method applied i…
Collaborative FilteringRecommendation SystemsSequential Pattern MiningMining Local Process Models
In this paper we describe a method to discover frequent behavioral patterns in event logs. We express these patterns as \emph{local process models}. Local process model mining can be positioned in-between process discove…
Model DiscoverySequential Pattern MiningAn Efficient Algorithm for Mining Frequent Sequence with Constraint Programming
The main advantage of Constraint Programming (CP) approaches for sequential pattern mining (SPM) is their modularity, which includes the ability to add new constraints (regular expressions, length restrictions, etc). The…
Sequential Pattern MiningA Subsequence Interleaving Model for Sequential Pattern Mining
Recent sequential pattern mining methods have used the minimum description length (MDL) principle to define an encoding scheme which describes an algorithm for mining the most compressing patterns in a database. We prese…
modelSequential Pattern MiningA global Constraint for mining Sequential Patterns with GAP constraint
Sequential pattern mining (SPM) under gap constraint is a challenging task. Many efficient specialized methods have been developed but they are all suffering from a lack of genericity. The Constraint Programming (CP) app…
Sequential Pattern MiningUsing consumer behavior data to reduce energy consumption in smart homes
This paper discusses how usage patterns and preferences of inhabitants can be learned efficiently to allow smart homes to autonomously achieve energy savings. We propose a frequent sequential pattern mining algorithm sui…
Recommendation SystemsSequential Pattern Mining