Matches in SemOpenAlex for { <https://semopenalex.org/work/W3184232143> ?p ?o ?g. }
- W3184232143 endingPage "94" @default.
- W3184232143 startingPage "65" @default.
- W3184232143 abstract "Abstract“A rotten apple spoils the whole bunch” deciphers the research problem domain. Taking a broader perspective, the existence of anomaly in a graphical community would degrade the global network performance. The anomaly is a hindrance to insight for a better data quality analytics. Though the majority of multidisciplinary contributions in machine learning prevail, a surge towards graph-based learning is gaining a significant importance. Most of the statistical machine learning methodology adopted for outlier identification is inherited in most of the graph-based anomaly detection (GBAD) techniques. This survey aims to establish a broad overview on the state-of-the-art methods for GBAD in a static environment, specifically GBAD techniques by utilizing structural orientation, community-based discovery to seek the quality advancement. To achieve better graph storage on query handling, some graph summary techniques are studied. Intuitive comparative analysis of diverse GBAD algorithm helps to clarify novice researcher in problem solving. Moreover, the survey opens up new research ideas and practical challenges in the realm for a robust futuristic contribution.KeywordsGraph-based anomaly detection (GBAD)Outlier detectionBig dataMachine learning (ML)Graph labellingStructure-based graph anomalyCommunity-based graph anomalyGraph compression" @default.
- W3184232143 created "2021-08-02" @default.
- W3184232143 creator A5057614621 @default.
- W3184232143 creator A5064631318 @default.
- W3184232143 date "2021-07-23" @default.
- W3184232143 modified "2023-09-25" @default.
- W3184232143 title "Certain Strategic Study on Machine Learning-Based Graph Anomaly Detection" @default.
- W3184232143 cites W143174683 @default.
- W3184232143 cites W1492581097 @default.
- W3184232143 cites W1522649741 @default.
- W3184232143 cites W1530232915 @default.
- W3184232143 cites W1543897857 @default.
- W3184232143 cites W1557919099 @default.
- W3184232143 cites W1755289444 @default.
- W3184232143 cites W1964108206 @default.
- W3184232143 cites W1971864278 @default.
- W3184232143 cites W1988177629 @default.
- W3184232143 cites W2000358470 @default.
- W3184232143 cites W2007087405 @default.
- W3184232143 cites W2019014808 @default.
- W3184232143 cites W2025299767 @default.
- W3184232143 cites W2025901387 @default.
- W3184232143 cites W2032280284 @default.
- W3184232143 cites W2032997274 @default.
- W3184232143 cites W2033083678 @default.
- W3184232143 cites W2034572462 @default.
- W3184232143 cites W2036216970 @default.
- W3184232143 cites W2042932500 @default.
- W3184232143 cites W2049074379 @default.
- W3184232143 cites W2057212005 @default.
- W3184232143 cites W2066636486 @default.
- W3184232143 cites W2081819742 @default.
- W3184232143 cites W2085423423 @default.
- W3184232143 cites W2085756291 @default.
- W3184232143 cites W2091838590 @default.
- W3184232143 cites W2105045879 @default.
- W3184232143 cites W2105934661 @default.
- W3184232143 cites W2112429379 @default.
- W3184232143 cites W2116598146 @default.
- W3184232143 cites W2122646361 @default.
- W3184232143 cites W2129312546 @default.
- W3184232143 cites W2137130182 @default.
- W3184232143 cites W2138621811 @default.
- W3184232143 cites W2147620601 @default.
- W3184232143 cites W2148610006 @default.
- W3184232143 cites W2157564217 @default.
- W3184232143 cites W2165840237 @default.
- W3184232143 cites W2170314592 @default.
- W3184232143 cites W2199530723 @default.
- W3184232143 cites W2296746822 @default.
- W3184232143 cites W2322419595 @default.
- W3184232143 cites W2487362010 @default.
- W3184232143 cites W2488558416 @default.
- W3184232143 cites W2508429044 @default.
- W3184232143 cites W2525856509 @default.
- W3184232143 cites W2592654871 @default.
- W3184232143 cites W2741114205 @default.
- W3184232143 cites W2752257308 @default.
- W3184232143 cites W2784910599 @default.
- W3184232143 cites W2788708648 @default.
- W3184232143 cites W2789853518 @default.
- W3184232143 cites W2794874554 @default.
- W3184232143 cites W2806029905 @default.
- W3184232143 cites W2808201204 @default.
- W3184232143 cites W2808544127 @default.
- W3184232143 cites W2923088514 @default.
- W3184232143 cites W2945057656 @default.
- W3184232143 cites W2963300178 @default.
- W3184232143 cites W2963486145 @default.
- W3184232143 cites W2989834171 @default.
- W3184232143 cites W3036512766 @default.
- W3184232143 cites W3099362990 @default.
- W3184232143 cites W3102647957 @default.
- W3184232143 cites W3103588369 @default.
- W3184232143 cites W4239991006 @default.
- W3184232143 cites W4254182148 @default.
- W3184232143 cites W602067175 @default.
- W3184232143 cites W2622821517 @default.
- W3184232143 doi "https://doi.org/10.1007/978-981-16-1866-6_5" @default.
- W3184232143 hasPublicationYear "2021" @default.
- W3184232143 type Work @default.
- W3184232143 sameAs 3184232143 @default.
- W3184232143 citedByCount "2" @default.
- W3184232143 countsByYear W31842321432022 @default.
- W3184232143 countsByYear W31842321432023 @default.
- W3184232143 crossrefType "book-chapter" @default.
- W3184232143 hasAuthorship W3184232143A5057614621 @default.
- W3184232143 hasAuthorship W3184232143A5064631318 @default.
- W3184232143 hasConcept C119857082 @default.
- W3184232143 hasConcept C124101348 @default.
- W3184232143 hasConcept C132525143 @default.
- W3184232143 hasConcept C154945302 @default.
- W3184232143 hasConcept C2522767166 @default.
- W3184232143 hasConcept C41008148 @default.
- W3184232143 hasConcept C739882 @default.
- W3184232143 hasConcept C79158427 @default.
- W3184232143 hasConcept C79337645 @default.
- W3184232143 hasConcept C80444323 @default.