Results 31 to 40 of about 2,962,161 (302)
Uncertainty in Sequential Pattern Mining [PDF]
, 2012 We study uncertainty models in sequential pattern mining. We discuss some kinds of uncertainties that could exist in data, and show how these uncertainties can be modelled using probabilistic databases. We then obtain possible world semantics for them and show how frequent sequences could be mined using the probabilistic frequentness measure.
Muhammad Muzammal, Rajeev Raman
openaire +2 more sources
CD-SPM: Cross-domain book recommendation using sequential pattern mining and rule mining
Journal of King Saud University: Computer and Information Sciences, 2022 Recommender system suggests a personalized recommendation by filtering the information based on users interest. Nowadays, users like to purchase the best possible items and services to spend the shortest span of time.
Taushif Anwar, V. Uma
doaj +1 more source
Finding anomalies in SCADA logs using rare sequential pattern mining [PDF]
, 2016 Pattern mining is a branch of data mining used to discover hidden patterns or correlations among data. We use rare sequential pattern mining to find anomalies in critical infrastructure control networks such as supervisory control and data acquisition ...
Radke, Kenneth +11 more
core +1 more source
Mining hybrid sequential patterns and sequential rules
Information Systems, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yen-Liang Chen +2 more
openaire +3 more sources
A Survey of Parallel Sequential Pattern Mining [PDF]
ACM Transactions on Knowledge Discovery from Data, 2019 With the growing popularity of shared resources, large volumes of complex data of different types are collected automatically. Traditional data mining algorithms generally have problems and challenges including huge memory cost, low processing speed, and inadequate hard disk space.
Wensheng Gan +4 more
openaire +2 more sources
Parallel Sequential Pattern Mining of Massive Trajectory Data [PDF]
International Journal of Computational Intelligence Systems, 2010 The trajectory pattern mining problem has recently attracted much attention due to the rapid development of location-acquisition technologies, and parallel computing essentially provides an alternative method for handling this problem.
Shaojie Qiao, Tianrui Li, Jing Peng
doaj +1 more source
Sequential Pattern Mining Suggests Wellbeing Supportive Behaviors
IEEE Access, 2019 Amidst the headlines about the attention economy and the possible impacts of screen time, research investigating the complex relationship between digital technology usage and wellbeing has gained urgency.
Muhammad J. Alibasa +2 more
doaj +1 more source
Progressive CFM-Miner: An Algorithm to Mine CFM – Sequential Patterns from a Progressive Database [PDF]
International Journal of Computational Intelligence Systems, 2013 Sequential pattern mining is a vital data mining task to discover the frequently occurring patterns in sequence databases. As databases develop, the problem of maintaining sequential patterns over an extensively long period of time turn into essential ...
Bhawna Mallick +2 more
doaj +1 more source
, 2014 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
Mining Interesting Negative Sequential Patterns Based on Influence
IEEE Access, 2023 Negative sequential pattern (NSP) mining can capture frequently occurring and non-occurring behavior information and can play an irreplaceable role in many applications.
Fengling Cui +2 more
doaj +1 more source