Results 31 to 40 of about 4,248,745 (299)
Detecting Incremental Frequent Subgraph Patterns in IoT Environments
Sensors, 2018 As graph stream data are continuously generated in Internet of Things (IoT) environments, many studies on the detection and analysis of changes in graphs have been conducted. In this paper, we propose a method that incrementally detects frequent subgraph
Kyoungsoo Bok +3 more
doaj +1 more source
A Graph-Based Differentially Private Algorithm for Mining Frequent Sequential Patterns
Applied Sciences, 2022 Currently, individuals leave a digital trace of their activities when they use their smartphones, social media, mobile apps, credit card payments, Internet surfing profile, etc.
Miguel Nunez-del-Prado +4 more
doaj +1 more source
Mining frequent closed itemsets with the frequent pattern list [PDF]
Proceedings 2001 IEEE International Conference on Data Mining, 2002 The mining of a complete set of frequent itemsets will lead to a huge number of itemsets. Fortunately, this problem can be reduced to the mining of frequent closed itemsets (FCIs), which results in a much smaller number of itemsets. The approaches to mining frequent closed itemsets can be categorized into two groups: those with candidate generation and
Tseng, Fan-Chen +2 more
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Frequent State Transition Patterns of Multivariate Time Series
IEEE Access, 2019 Sequence pattern discovery is a key issue in multivariate time series analysis. Popular approaches first obtain the pattern of each single-variate time series and then obtain cross-variate associations.
Zhi-Heng Zhang, Fan Min
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Mining frequent patterns in process models [PDF]
Information Sciences, 2019 Process mining has emerged as a way to analyze the behavior of an organization by extracting knowledge from event logs and by offering techniques to discover, monitor and enhance real processes. In the discovery of process models, retrieving a complex one, i.e., a hardly readable process model, can hinder the extraction of information.
David Chapela-Campa +2 more
openaire +3 more sources
A Sliding Window-Based Approach for Mining Frequent Weighted Patterns Over Data Streams
IEEE Access, 2021 The mining of frequent weighted patterns (FWPs) that considers the different semantic significance (weight) of items is more suitable for practice than the mining of frequent patterns. Therefore, it plays a vital role in real-world scenarios.
Huong Bui +4 more
doaj +1 more source
Analysis and Classification of Fake News Using Sequential Pattern Mining
Big Data Mining and AnalyticsDisinformation, often known as fake news, is a major issue that has received a lot of attention lately. Many researchers have proposed effective means of detecting and addressing it.
M. Zohaib Nawaz +3 more
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A Distributed Method for Fast Mining Frequent Patterns From Big Data
IEEE Access, 2021 In recent years, knowledge discovery in databases provides a powerful capability to discover meaningful and useful information. For numerous real-life applications, frequent pattern mining and association rule mining have been extensively studied.
Peng-Yu Huang +5 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
Mining the Frequent Patterns of Named Entities for Long Document Classification
Applied Sciences, 2022 Nowadays, a large amount of information is stored as text, and numerous text mining techniques have been developed for various applications, such as event detection, news topic classification, public opinion detection, and sentiment analysis.
Bohan Wang +5 more
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