在2006年9月召开的ICDM会议上，邀请了ACM KDD创新大奖(InnovationAward)和 Top 10 Algorithms in Data Mining IEEEICDM研究贡献奖(Research Contributions Award)的获奖者们来参与数据挖掘10大算 法的选举，每人提名10种他认为最重要的算法-Classification，Statistical Learning，Top 10 Algorithms in Data Mining，material

Analysis of NSL-KDD Dataset for Fuzzy Based Intrusion Detection System

Data Mining process model selected is KDD which starts selection of data.Initially the researcher has taken the Kddcup.data-10-perecnt which contains total of 311,027 records which includes both labeled and unlabeled records-Data Mining process model

自适应临近聚类算法/集群和投影聚类/自适应的邻居 -Clustering and Projected Clustering with Adaptive Neighbors. The 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), New York, USA, 2014