Titlebook: Scalable Information Systems; 5th International Co Jason J. Jung,Costin Badica,Attila Kiss Conference proceedings 2015 Institute for Comput

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书目名称Scalable Information Systems影响因子(影响力)




书目名称Scalable Information Systems影响因子(影响力)学科排名




书目名称Scalable Information Systems网络公开度




书目名称Scalable Information Systems网络公开度学科排名




书目名称Scalable Information Systems被引频次




书目名称Scalable Information Systems被引频次学科排名




书目名称Scalable Information Systems年度引用




书目名称Scalable Information Systems年度引用学科排名




书目名称Scalable Information Systems读者反馈




书目名称Scalable Information Systems读者反馈学科排名

花束

Multi-modal Similarity Retrieval with a Shared Distributed Data Storeis suitable for our system. In the second part, we describe a specific instance of this architecture that manages a 106 million image collection providing content-based visual search, keyword search, attribute-based access, and their combinations.

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先锋派

Scalable Similarity Search for Big Datat implies a necessity to uncover descriptive knowledge of complex and heterogeneous objects to make them findable. Second, multimodal search structures are needed to efficiently execute complex similarity queries possibly in outsourced environments while preserving privacy. Four specific research ob

tic-douloureux

Content-Based Analytics of Diffusion on Social Big Data: A Case Study on Korean Telecommunication Coefit of their business because it has rapidly become an information vehicle for consumers who are disseminating information on products and services. Thus, this study examines how information shared by firms is diffused and what the important factors in understanding information dissemination are. S

Lament

Multi-modal Similarity Retrieval with a Shared Distributed Data Storeghly-scalable distributed data stores with recent efficient similarity indexes and also with other types of search indexes. The system is designed to provide several types of queries – distance-based similarity queries, term-based queries, attribute queries, and advanced queries combining several se

雇佣兵

An Efficient Approach for Complex Data Summarization Using Multiview Clusteringmount of network traffic generated even in small networks. Summarization is a primary data mining task for generating a concise yet informative summary of the given data and it is a research challenge to create summary from network traffic data. Existing summarization techniques are based on cluster

phlegm

A Novel Approach for Network Traffic Summarizationakes it a challenging task for the network managers to understand the nature of the traffic that is carried in their network. However, it is an important data analysis task, given the amount of network traffic generated. Summarization is a key data mining concept, which is considered as a solution f

含沙射影

Heart Disease Diagnosis Using Co-clustering continuously. Consequently, efficient techniques are required to analyse such large datasets and extract meaningful information as well as knowledge. Disease diagnosis is an important application domain of data mining techniques and can be resembled with the anomaly detection which is one of the pr

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