Paper Title:
Formulate Neighborhood for Multi-Relational Data by Cell Accumulating
  Abstract

This paper presents an algorithm to develop neighborhood, and the first time applies it into multi-relational (MR) data. The proposed algorithm is inspired by the idea of Locality Sensitiveness Hashing, whose idea is cell accumulating. The heuristics of parameterization are given, which are customized to MR data. Experiments demonstrate the proposed method behaves better than its peers on both MR data and common data.

  Info
Periodical
Key Engineering Materials (Volumes 460-461)
Edited by
Yanwen Wu
Pages
165-171
DOI
10.4028/www.scientific.net/KEM.460-461.165
Citation
P. Ling, Q. Yang, X. Y. You, "Formulate Neighborhood for Multi-Relational Data by Cell Accumulating", Key Engineering Materials, Vols. 460-461, pp. 165-171, 2011
Online since
January 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Zhong Ping Zhang, Yong Xin Liang
Abstract:This paper proposes a new data stream outlier detection algorithm SODRNN based on reverse nearest neighbors. We deal with the sliding window...
1032
Authors: Rui Lian Hou, Ai Mei Dong, Xiu Fang Li
Chapter 3: Material Science, Manufacturing Engineering and Production System
Abstract:This paper provides the schemata and arithmetic of the city ambient air quality monitoring data warehouse. And describes the Modeling Theory...
616
Authors: Bing Chen, Xue Qin Hu, Bei Zhan Wang, Yin Huan Zheng
Chapter 5: Biotechnology, Chemical and Materials Engineering
Abstract:This paper proposed a new hybrid spectral clustering algorithm in which Mean Impact Value (MIV) was used in the cost dimension reduction. The...
695
Authors: Jin Hu Niu
Chapter 18: Computer Applications in Industry and Engineering
Abstract:The research on statistical analysis of multivariable panel data is a blank in China. The paper tries to do the basal study on cluster...
2668
Authors: Lei Chun Wang, Guo Yu Zhou
Chapter 2: Sensors, Measurement and Detection
Abstract:Data aggregation is the important method to reduce data traffic and lower energy expenditure in wireless sensor networks (WSN). This paper...
655