Titlebook: Social Media Retrieval and Mining; ADMA 2012 Workshops, Shuigeng Zhou,Zhiang Wu Conference proceedings 2013 Springer-Verlag Berlin Heidelbe

吵闹

Large-Screen Intelligent Display Platform for Run-Time Data VisualizationAlso, it is the extension of SG - ERP. Run-Time data visualization can help understand the relationships of different datas and improve the user experience. In this work, a large-screen intelligent platform for run-time data visualization is presented which can also provide guidance for other operat

挥舞

A Pork Traceability Framework Based on Internet of Thingsy. We apply the technologies from Internet of Things such as remote monitoring, sensor network, and data mining to create a chain covering the whole process of pork production. The traceability information can also be accessed through the Internet and any costumer could find out where the pork he/sh

G-spot

Towards Graph Summary and Aggregation: A Surveygregation. We provide the classification of them in terms of partition criterion or information lossless. Further, the main graph summary algorithms are compared and discussed in detail. In the end, we give the challenges and future works.

infantile

OIPBP: On-Demand Interdomain Path Building Protocoltheir downstream nodes and customize the routes according to their own requirements. In order to achieve this goal, we extend BGP by adding more policies options into routing advertisements, and the inserted policies can be referred by the intermediate nodes when selecting paths. We verify OIPBP has good performance by experiments.

Ptsd429

Fissure

Large-Screen Intelligent Display Platform for Run-Time Data Visualizationience. In this work, a large-screen intelligent platform for run-time data visualization is presented which can also provide guidance for other operation monitoring center and applications of large-screen display technology.

外向者

工作

自由职业者

Multi-Influences Co-existence Based Independent Cascade Model and Conflict Resolution Strategy in Soon rules, customers and producers. To illustrate these issues, we conduct experiments with data from four real datasets, evaluate the performances of the proposed model and algorithms, demonstrate that the final numbers of influential nodes are progressive when . uses three different conflict selection strategies.

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