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1K1-IOS-1a-1 A Study on Next Location Predictive Modeling using Mined Temporal Sequential Patterns as input to a Decision Tree

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06月12日(Tue) 10:00〜12:20 K会場(-ゆ~あいプラザ山口県社会福祉会館/第1会議室(81))
1K1-IOS-1a International Organized Session「Application Oriented Principles of Machine Learning and Data Mining (1)」

演題番号1K1-IOS-1a-1
題目A Study on Next Location Predictive Modeling using Mined Temporal Sequential Patterns as input to a Decision Tree
著者ソドコムカム ダナイパット(Osaka University)
Legaspi Roberto(Osaka University)
Kurihara Satoshi(Osaka University)
Numao Masayuki(Osaka University)
時間06月12日(Tue) 10:00〜10:30
概要In this paper we present HOMME (Hierarchical-Ontological Mind Map Explorer), a novel application expanding the way users explore the web. HOMME offers the user two powerful tools. Ontology builder creates a mind map around the input query, presenting the underlying semantic relationships between the query and other terms on the web. Concept Linker provides the opportunity to experience the crossing of the boundaries of conceptual spaces. The experimental results demonstrate that the semantic relationships are highly recognized by humans and concepts of queries are accurate suggestions for users.
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