Results 21 to 30 of about 635,391 (212)
Representing Graphs as Bag of Vertices and Partitions for Graph Classification
Data Science and Engineering, 2018 Graph classification is a difficult task because finding a good feature representation for graphs is challenging. Existing methods use topological metrics or local subgraphs as features, but the time complexity for finding discriminatory subgraphs or ...
Mansurul Bhuiyan, Mohammad Al Hasan
doaj +1 more source
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
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
doaj +1 more source
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
doaj +1 more source
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
doaj +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
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Primary lung carcinomas and bronchial carcinoid tumors (BC) are very rare malignancies in childhood. While typical BC and mucoepidermoid carcinomas are mostly low‐grade, localized tumors with a more favorable prognosis than in adults, necessitating avoidance of overtreatment, adenocarcinomas of the lung are often diagnosed at advanced disease ...
Michael Abele +19 more
wiley +1 more source
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