The originality of this work resides into the exploitation of data mining techniques for problem solving. Two major phases define this work. The first one is to determine the clustering technique that best suits each SAT instance based on the distribution of the later. The clustering technique is...
In this research paper, we present some of the grid based methods such as CLIQUE (CLustering In QUEst) [2], STING (STatistical INformation Grid) [3], MAFIA (Merging of Adaptive Intervals Approach to Spatial Data Mining) [4], Wave Cluster [5]and O-CLUSTER (Orthogonal partitioning CLUSTERing...
The grid-based technique is used for a multi-dimensional dataset. In this technique, we create a grid structure, and the comparison is performed on grids(also know as cells). The grid-based technique is fast and has low computational complexity.--wiki 基于网格的技术用于多维数据集。在这种技术...
International Journal of Data Mining Modelling & ManagementRenxia Wan, Jingchao Chen, Lixin Wang, and Xiaoke Su. Grid-based clustering over an evolving data stream. International Journal of Data Mining, Modelling and Management, 1(4):393-410, 2009....
grid-based clusteringhigh dimensional data streamsClustering is an important task in mining the evolving data streams. A lot of data streams are high dimensional in nature. Clustering in the high dimensional data space is a complex problem, which is inherently more complex for data streams. Most ...
PGMCLU:A Novel Parallel Grid-based Clustering Algorithm for Multi-density Datasets clustering methods.In this paper,to address these issues,we present a novel parallel gridbased clustering algorithm for multi-density datasets,called PGMCLU,... 被引量: 0发表: 2009年...
To address the issues outlined above, the data mining process is in need of reformulation. This leads to the concept of distributed data mining, and in particular to grid-based data mining or – in analogy to a data grid or a computational grid – to the concept of a data mining grid....
Grid based clustering; Density based clustering; DBSCAN; GRIDEN; Data mining; Massive spatial data; Parallel computing; 机译:基于网格的聚类;基于密度的聚类;DBSCAN;GRIDEN;数据挖掘;大空间数据;并行计算; 入库时间 2022-08-18 02:49:42 相似文献 外文文献 中文文献 专利 1. K-DBSCAN: an efficient...
Clustering based on grid and local density with priority-based expansion for multi-density data Clustering based on grid and density for multi-density datasets plays a key role in data mining. In this work, a clustering method that consists of a grid ... Dong, ShaoqunLiu, JianjunLiu, Yuhan...
In: Proceedings of 2nd International Conference Knowledge Discovery and Data Mining (KDD 1996), pp. 226–231 (1996) 11. KDD dataset. http://kdd.ics.uci.edu/databases/kddcup99/kddcup99.html About this Chapter Title A Density-Grid Based Clustering Algorithm ...