Titlebook: Database Systems for Advanced Applications; DASFAA 2015 Internat An Liu,Yoshiharu Ishikawa,Muhammad Aamir Cheema Conference proceedings 201

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書目名稱Database Systems for Advanced Applications影響因子(影響力)




書目名稱Database Systems for Advanced Applications影響因子(影響力)學(xué)科排名




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書目名稱Database Systems for Advanced Applications被引頻次學(xué)科排名




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書目名稱Database Systems for Advanced Applications讀者反饋




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Maintaining Ranking Lists in Dynamic Virtual Environmentser the problem of maintaining the ranking lists of items for preference queries in dynamic virtual environments, which is very useful for avatars in virtual environments to continuously monitor interesting items surrounding them. Traditional solutions on preference queries utilize the pre-computed m

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Knowledge Communication Analysis Based on Clustering and Association Rules Miningy studies the method of mining knowledge communication via Open-Access Journals. We first designed a new framework of knowledge communication analysis based on clustering and association rule mining. Then, we proposed two improved indexes named cited frequency and weighted cited frequency. Extensive

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Schema Matching Based on Source Codeshanging among several authorities. Existing techniques for schema matching are classified as either schema-based, instance-based, or a combination of both. In this paper, we propose a new class of techniques, called schema matching based on source codes. The idea is to exploit the . extracted from t

COMMA

屈尊

Entity Relation Mining in Large-Scale Datarelationship extraction is to explore the relationship between a set of realistic entities. It’s a challenging research field and has a widely application value in the related fields of text mining. In this paper, we propose a newly defined framework called Snowball++ based on the traditional entity

Essential

A Collaborative Filtering Model for Personalized Retweeting Predictionmount of information posted by users and the highly frequent updates in social media, users often face the problem of information overload and miss out of content that they may be interested in. Recommender systems, which recommends an item (e.g., a product, a service and a twitter etc.) to users ba

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