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检索条件"任意字段=20th International Conference on Database Systems for Advanced Applications, DASFAA 2015"

共 26 条记录，以下是1-10 订阅

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20th international conference on database systems for advanced applications, dasfaa 2015

20th International Conference on Database Systems for Advanc...

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20th international conference on database systems for advanced applications, dasfaa 2015

ISBN: (纸本)9783319181196

the proceedings contain 36 papers. the special focus in this conference is on Data Mining, Data Streams, database Storage and Spatio-Temporal Data. the topics include: Leveraging homomorphisms and bitmaps to enable the mining of embedded patterns from large data trees;cold-start expert finding in community question answering via graph regularization;mining itemset-based distinguishing sequential patterns with gap constraint;adaptive grid-based k-median clustering of streaming data with accuracy guarantee;grouping methods for pattern matching in probabilistic data streams;fast similarity search of multi-dimensional time series via segment rotation;measuring the influence from user-generated content to news via cross-dependence topic modeling;a high-performance key-value store design for massive hybrid storage;an efficient design and implementation of multi-level cache for database systems;detecting hotspots from trajectory data in indoor spaces;on efficient passenger assignment for group transportation;effective and efficient predictive density queries for indoor moving objects;efficient trip planning for maximizing user satisfaction;accelerating search of protein sequence databases using CUDA-enabled GPU;fast subgraph matching on large graphs using graphics processors;process-driven configuration of federated cloud resources;an integrated tag recommendation algorithm towards weibo user profiling;a comparative study of team formation in social networks;inferring diffusion networks with sparse cascades by structure transfer;repairing functional dependency violations in distributed data;provenance-aware entity resolution: leveraging provenance to improve quality and privacy-preserving top-k spatial keyword queries over outsourced database.

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20th international conference on database systems for advanced applications, dasfaa 2015

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20th international conference on database systems for advanced applications, dasfaa 2015

ISBN: (纸本)9783319181226

the proceedings contain 74 papers. the special focus in this conference is on Outlier and Imbalanced Data Analysis, Probabilisstic and Uncertain Data, Data Mining II and Spatio-temporal Data II. the topics include: Fast and scalable outlier detection with approximate nearest neighbor ensembles;efficient queries evaluation on block independent disjoint probabilistic databases;tracing errors in probabilistic databases based on the bayesian network;mining frequent spatial-textual sequence patterns;retaining rough diamonds;spatial keyword range search on trajectories;an efficient skyline algorithm for all seasons;towards order-preserving submatrix search and indexing;tree contraction for compressed suffix arrays on modern processors;pricing strategies for maximizing viral advertising in social networks;boosting financial trend prediction with twitter mood based on selective hidden Markov models;interactive, flexible, and generic what-if analyses using in-memory column stores;invariant event tracking on social networks;mining correlations on massive bursty time series collections;grouping methods for pattern matching in probabilistic data streams;the gaussian bloom filter;detecting hotspots from trajectory data in indoor spaces;effective and efficient predictive density queries for indoor moving objects;accelerating search of protein sequence databases using CUDA-enabled GPU;an efficient approach of overlapping communities search;scalable inclusion dependency discovery;minimizing user effort with diversity awareness;bichromatic reverse nearest neighbor query without information leakage and authentication of reverse k nearest neighbor query.

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database systems for advanced applications: 20th international conference, dasfaa 2015 hanoi, Vietnam, april 20–23, 2015 proceedings, part I 20th

Database systems for advanced applications: 20th internation...

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20th international conference on database systems for advanced applications, dasfaa 2015

作者： Renz, Matthias Shahabi, Cyrus Zhou, Xiaofang Cheema, Muhammad Aamir Universität München München Germany University of Southern California Los Angeles United States University of Queensland Brisbane Australia Monash University Clayton Australia

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database systems for advanced applications: dasfaa 2015 international workshops, SeCoP, BDMS, and posters hanoi, Vietnam, april 20–23, 2015 revised selected papers 2nd

Database systems for advanced applications: DASFAA 2015 inte...

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2nd international Workshop on Semantic Computing and Personalization, SeCoP 2015, 2nd international Workshop on Big Data Management and Service, BDMS 2015 held in conjunction with 20th international conference on database systems for advanced applications, dasfaa 2015

作者： Liu, An Ishikawa, Yoshiharu Qian, Tieyun Nutanong, Sarana Cheema, Muhammad Aamir Soochow University Suzhou China Nagoya University Nagoya Japan Wuhan University Wuhan China University of Hong Kong Hong Kong Hong Kong Monash University ClaytonVIC Australia

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TOF: A throughput Oriented Framework for Spatial Queries Processing in Multi-core Environment 20th

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20th international conference on database systems for advanced applications (dasfaa)

作者： Xue, Zhong-Bin Zhou, Xuan Wang, Shan Renmin Univ China Key Lab DEKE MOE Beijing 100872 Peoples R China Renmin Univ China Sch Informat Beijing 100872 Peoples R China

ISBN: (纸本)9783319181233;9783319181226

In this paper, we develop a throughput Oriented Framework (TOF) for efficient processing of spatiotemporal queries in multicore environment. Traditional approaches to spatial query processing were focused on reduction of query latency. In real world, most LBS applications emphasize throughput rather than query latency. TOF is designed to achieve maximum throughput. Instead of resorting to complex indexes, TOF chooses to execute a batch queries at each run, so it can maximize data locality and parallelism on multi-core platforms. Using TOF, we designed algorithms for processing range queries and kNN queries respectively. Experimental study shows that these algorithms outperform the existing approaches significantly in terms of throughput.

关键词： Multi-core Large update rates Real-time response High throughput Batch query Spatial-temporal database

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Mining Wikileaks Data to Identify Sentiment Polarities in international Relationships 2nd

Mining Wikileaks Data to Identify Sentiment Polarities in In...

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20th international conference on database systems for advanced applications (dasfaa)

作者： Jain, Arpit Bhattacharya, Arnab Indian Inst Technol Dept Comp Sci & Engn Kanpur 208016 Uttar Pradesh India

ISBN: (纸本)9783319223247;9783319223230

the infamous Wikileaks cables are a large-scale resource for analyzing international relationships. We use sentiment analysis on this dataset to extract opinion polarities in the international scenario. We use an unsupervised approach based on standard sentiment lexicon with modifiers to mine opinion polarities among the cables to and from embassies/consulates of USA. Sharp changes in opinion polarities are mapped to international events happening around the time of the cable at the location of the embassy/consulate, and a positive/negative correlation is drawn. the dataset consists of 232,410 cables from 1966 up to October 2009 concerning 272 embassies and consulates across the world. the top 28 of the spikes/dips in polarity changes coming from 20 embassies/consulates are then evaluated. Our results show that there is a strong correlation (76%) between our findings and sentiments surrounding actual events. For example, our study was able to correctly identify suicide terrorist attacks outside the American embassy in Casablanca. It could also highlight a cable that referred to a terrorist who was later arrested in New Delhi possessing secret documents related to Indian Army.

关键词： Cables

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Extracting Indoor Spatial Objects from CAD Models: A database Approach 2nd

Extracting Indoor Spatial Objects from CAD Models: A Databas...

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20th international conference on database systems for advanced applications (dasfaa)

作者： Xu, Dazhou Jin, Peiquan Zhang, Xiaoxiang Du, Jiang Yue, Lihua Univ Sci & Technol China Sch Comp Sci & Technol Hefei 230027 Peoples R China Chinese Acad Sci Key Lab Electromagnet Space Informat Hefei 230027 Peoples R China

ISBN: (纸本)9783319223247;9783319223230

With the increasing development of indoor positioning technologies such as Wifi and RFID, indoor location based services (LBSs) has been a hot topic in recent years. Differing from GPS-based outdoor LBSs, we lack sufficient indoor maps which are the foundation of indoor LBSs. In this paper, we present a database approach to extract indoor spatial objects, e.g., rooms and doors, from CAD models, and then transform them into an indoor moving-object database. With this mechanism, we are able to efficiently generate indoor maps and support indoor-space queries. In addition, we implement a prototype system to demonstrate the feasibility of our proposal. It shows that our approach has a high precision on extracting indoor spatial objects and can support indoor spatial queries effectively.

关键词： Indoor maps CAD model Indoor moving-object database Extraction

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Tracing Errors in Probabilistic databases Based on the Bayesian Network 20th

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20th international conference on database systems for advanced applications (dasfaa)

作者： Duan, Liang Yue, Kun Jin, Cheqing Xu, Wenlin Liu, Weiyi Yunnan Univ Sch Informat Sci & Engn Dept Comp Sci & Engn Kunming Peoples R China E China Normal Univ Inst Mass Comp Shanghai 200062 Peoples R China

ISBN: (纸本)9783319181233;9783319181226

Data in probabilistic databases may not be absolutely correct, and worse, may be erroneous. Many existing data cleaning methods can be used to detect errors in traditional databases, but they fall short of guiding us to find errors in probabilistic databases, especially for databases with complex correlations among data. In this paper, we propose a method for tracing errors in probabilistic databases by adopting Bayesian network (BN) as the framework of representing the correlations among data. We first develop the techniques to construct an augmented Bayesian network (ABN) for an anomalous query to represent correlations among input data, intermediate data and output data in the query execution. Inspired by the notion of blame in causal models, we then define a notion of blame for ranking candidate errors. Next, we provide an efficient method for computing the degree of blame for each candidate error based on the probabilistic inference upon the ABN. Experimental results show the effectiveness and efficiency of our method.

关键词： Data cleaning Probabilistic database Bayesian network Rejection sampling Probabilistic inference

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the Gaussian Bloom Filter 20th

The Gaussian Bloom Filter

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20th international conference on database systems for advanced applications (dasfaa)

作者： Werner, Martin Schoenfeld, Mirco Univ Munich Munich Germany

ISBN: (纸本)9783319181202;9783319181196

Modern databases tailored to highly distributed, fault tolerant management of information for big data applications exploit a classical data structure for reducing disk and network I/O as well as for managing data distribution: the Bloom filter. this data structure allows to encode small sets of elements, typically the keys in a key-value store, into a small, constant-size data structure. In order to reduce memory consumption, this data structure suffers from false positives which lead to additional I/O operations and are therefore only harmful with respect to performance. With this paper, we propose an extension to the classical Bloom filter construction which facilitates the use of floating point coprocessors and GPUs or additional main memory in order to reduce false positives. the proposed data structure is compatible with the classical construction in the sense that the classical Bloom filter can be extracted in time linear to the size of the data structure and that the Bloom filter is a special case of our construction. We show that the approach provides a relevant gain with respect to the false positive rate. Implementations for Apache Cassandra, C++, and NVIDIA CUDA are given and support the feasibility and results of the approach.

关键词： Bloom filter database design Data structures

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Approximating an Energy-Proportional DBMS by a Dynamic Cluster of Nodes

Approximating an Energy-Proportional DBMS by a Dynamic Clust...

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19th international conference on database systems for advanced applications (dasfaa)

作者： Schall, Daniel Haerder, theo Univ Kaiserslautern DBIS Grp D-67663 Kaiserslautern Germany

ISBN: (纸本)9783319058108;9783319058092

the most energy-efficient configuration of a single-server DBMS is the highest performing one, if we exclusively focus on specific applications where the DBMS can steadily run in the peak-performance range. However, typical DBMS activity levels-or their average system utilization-are much lower and their energy use is far from being energy proportional. Built of commodity hardware, WattDB-a distributed DBMS-runs on a cluster of computing nodes where energy proportionality is approached by dynamically adapting the cluster size. In this work, we combine our previous findings on energy-proportional storage layers and query processing into a single, transactional DBMS. We verify our vision by a series of benchmarks running OLTP and OLAP queries with varying degrees of parallelism. these experiments illustrate that WattDB dynamically adjusts to the workload present and reconfigures itself to satisfy performance demands while keeping its energy consumption at a minimum.

关键词： database systems

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