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Predictive Modeling of Complex Graphs as Context and Semantics Preserving Vector Spaces

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자료유형	E-Book
개인저자	Moon, Changsung.
단체저자명	North Carolina State University. Computer Science.
서명/저자사항	Predictive Modeling of Complex Graphs as Context and Semantics Preserving Vector Spaces.
발행사항	[S.l.] : North Carolina State University., 2018
발행사항	Ann Arbor : ProQuest Dissertations & Theses, 2018
형태사항	93 p.
소장본 주기	School code: 0155.
ISBN	9780438283725
일반주기	Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B. Adviser: Nagiza F. Samatova.
요약	Predictive modeling of complex graphs is a process that uses complex graph data and probability theory to forecast outcomes. Relational data, such as social networks and knowledge bases, can be represented as complex graphs with directed, multi-
요약	This work initially addresses two research challenges with regards to predictive analysis in complex graphs: 1) automatic completion of user-intended actions and 2) automatic knowledge graph (KG) completion, i.e., inference of missing entities a
요약	Typically, frequency analysis based models andMarkov models have been applied to address the task of predicting user actions. Although the existing models have been shown to have a reasonable predictive strength, they have issues capturing seman
요약	In this dissertation, we seek to improve both prediction of user actions and KG completion by inventing vector space embedding methods. We first propose an online method, Frequency Vector (FVEC) prediction, that predicts next actions by combinin
요약	For the prediction of missing entities and relation types in KGs, we present a contextual embedding method CONTE that learns the vector embeddings of entities and relation types while taking contextual relation types into account. Contextual re
요약	Finally, we present an embedding method inferring missing entity types, which refer to collections of entities that share common definitions (e.g., /music/artist). In addition to inference of missing entities and relation types, inferring missi
일반주제명	Computer science. Artificial intelligence.
언어	영어
기본자료 저록	Dissertation Abstracts International79-12B(E). Dissertation Abstract International
대출바로가기	http://www.riss.kr/pdu/ddodLink.do?id=T15001284