Titlebook: New Trends in Databases and Information Systems; ADBIS 2016 Short Pap Mirjana Ivanović,Bernhard Thalheim,Pietro Michiard Conference proceed

CLEFT

Conference proceedings 2016The papers are organized in topical sections on ADBIS Short Papers, Third International Workshop on Big Data Applications and Principles (BigDap 2016), Second International Workshop on Data Centered Smart Applications (DCSA 2016) and ADBIS Doctoral Consortium..

RLS898

1865-0929 a Applications and Principles (BigDap 2016), Second International Workshop on Data Centered Smart Applications (DCSA 2016) and ADBIS Doctoral Consortium..978-3-319-44065-1978-3-319-44066-8Series ISSN 1865-0929 Series E-ISSN 1865-0937

表皮

Basis Functions as Pivots in Space of Users Preferencesalgorithms and evaluation measures. We argue that LT recommendations behave better with respect to order sensitive measures. This gives raise a problem of pivot based indexing with order sensitive metrics.

Infelicity

他姓手中拿着

Towards Spatial Crowdsourcing in Vehicular Networks Using Mobile Agentsd them. In this paper, we present a preliminary spatial crowdsourcing approach that uses the technology of mobile agents to accomplish the collection and querying of data in such a scenario, supported by realistic simulations that prove that the proposal is promising.

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Spark2Fires: A New Parallel Approximate Subspace Clustering Algorithmion. We also provide a parallel implementation of proposed algorithm on top of Apache Spark to further accelerate our approach on large data sets. Preliminary experiment results show our algorithm performs much better especially considering the scalability with regard to the dimensionality of hidden clusters.

心神不宁

大方一点

JBD Generator: Towards Semi-Structured JSON Big Datazing the target synthetic data and is also capable of automatic creation of references between JSON documents. The results of experiments with the data generator exploited for the purpose of testing database . describe its added value.

亲属

Pixel-Based Analysis of Information Dashboard Attributes existing usability design advices, presents existing pixel-based metrics and make suggestions of new ones. The second part presents results of pixel-based analyses performed on two groups of well-designed dashboards and randomly chosen dashboards. Results of these two groups are compared and their differences are discussed.