Titlebook: New Trends in Databases and Information Systems; ADBIS 2017 Short Pap Mārīte Kirikova,Kjetil Nørvåg,Stefano Rizzi Conference proceedings 20

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Christiane Engels,Andreas Behrend,Stefan Brass dynamical, chemical, and hydrological processes in the atmosphere on a wide range of temporal and spatial scales. Clouds play a fundamental role in controlling the amount of solar and infrared radiation available to the climate system. The radiative properties of clouds make them a key component in

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Oscar Urra,Sergio Ilarriiences. After an open competition, the National Science Foundation gave its financial sup­ port to NCAR for the establishment of a much-needed statistics/probability program in the geophysical sciences. The result is the NCAR Geophysical Statistics Project (GSP). The primary mission of this program

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Daniel Seybold,Jörg Domaschkamore complex than traditionally assumed (one scale, simple m.This detailed, perceptive addition to the linguistics literature analyzes the semantic components of event predicates, exploring their fine-grained elements as well as their agency in linguistic processing. The papers go beyond pure semant

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Distributing N-Gram Graphs for Classificationged to capture significant language characteristics that go beyond mere vocabulary and grammar, for tasks such as text classification. This work proposes an efficient distributed implementation of the n-gram graph framework on Apache Spark, named ARGOT. The implementation performance is evaluated on

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Outlier Detection in Data Streams Using OLAP Cubesbes. Exploiting this structure systematically helps to find outliers otherwise undetectable. In this paper, we propose an approach that treats streaming data as a series of OLAP cubes. We then use an offline calculated model of the cube’s expected behavior to find outliers in the data stream. Furthe

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Balancing Performance and Energy for Lightweight Data Compression Algorithmsormance and energy has to be established. To tackle that issue for database systems, we proposed the concept of work-energy profiles. However, generating such profiles requires extensive benchmarking. To overcome that, we propose to approximate work-energy-profiles for complex operations based on th

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Asynchronous Graph Pattern Matching on Multiprocessor Systems sizes demand the usage of highly parallel in-memory graph processing engines that need to consider non-uniform memory access (NUMA) and concurrency issues to scale up on modern multiprocessor systems. To tackle these aspects, graph partitioning becomes increasingly important. Hence, we present a te