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

overweight

杀菌剂

Myocarditis

Tobias Schneider,Amir Moradi,Tim Güneysuer 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

Crohns-disease

isotope

Tobias Schneider,Amir Moradi,Tim Güneysuposed a classification method based on probabilistic topic model, which greatly improve the performance of sentimental categorization methods on short text. To solve the problems of sparsity and context-dependency, we extract hidden topics behind the text and associate different words by the same to

Rankle

胆小懦夫

Canonical DPA Attack on HMAC-SHA1/SHA2ations to measure and coordinate the energy consumption activity of individual key energy users within them. To enhance the overall performance of energy consumption under limited energy budget, the present paper proposes a new criterion, i.e., energy consumption satisfaction degree (ECSD), for an o

FEIGN

Lichao Wu,Guilherme Perin,Stjepan Picekrelationship 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

heterogeneous

Lecture Notes in Computer Sciencemount 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

construct

A Second Look at the ASCAD Databasesvitamin c fruit”. Its paraphrases are expressions or sentences that convey the same meaning but are different syntactically, such as “Lemons are rich in vitamin c”, or “Lemons contain a lot of vitamin c”. We aim at finding sentence-level paraphrases from the noisy Web, instead of domain-specific cor