作者: Hongchen Guo,Junsheng Liang,Zhiqiang Li (Network Information Technology Centre,Beijing Institute of Technology;School of Software,Beijing Institute of Technology)
出处: 2016 4th International Conference on Machinery,Materials and Information Technology Applications(ICMMITA 2016) 中国陕西西安 2016
会议录: Proceedings of 2016 4th International Conference on Machinery,Materials and Information Technology Applications(ICMMITA 2016)
摘要: The study proposed in this paper analyses the problems existing in the college course score prediction methodologies. Because of diversity and multipl ...
作者: Zhiqiang Li,Kai Chen,Hongchen Guo (School of Software,Beijing Institute of Technology;Network Information Technology Centre,Beijing Institute of Technology)
出处: 2016 IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference(IMCEC 2016) 中国陕西西安 2016
会议录: Proceedings of 2016 IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference(IMCEC 2016)
摘要: Internet addiction is a serious social problem nowadays.People with internet addiction usually spend much time on line,which there is no effectively t ...
作者: Hongchen Guo,Junbang Ma,Zhiqiang Li (Network Information Technology Centre,Beijing Institute of Technology;School of Software,Beijing Institute of Technology)
出处: 2016 4th International Conference on Electrical&Electronics Engineering and Computer Science(ICEEECS 2016) 中国山东济南 2016
会议录: Proceedings of 2016 4th International Conference on Electrical&Electronics Engineering and Computer Science(ICEEECS 2016)
摘要: The existing model which combines Ada Boost and SVM has poor performance when dealing with the imbalance dataset in multi-label classification. To dea ...
作者: Donghai Tian,Xiaoqi Jia,Junhua Chen,Changzhen Hu,Jingfeng Xue (Beijing Key Laboratory of Software Security Engineering Technique,School of Software,Beijing Institute of Technology;Shanghai Key Laboratory of Integrated Administration Technologies for Information Security,Shanghai Jiao Tong University;State Key Laboratory of Information Security,Institute of Information Engineering,Chinese Academy of Sciences & University of Chinese Academy of Sciences;Key Laboratory of IOT Application Technology of Universities in Yunnan Province,Yunnan Minzu University)
出处: 中国通信 2016 第11期 P143-152
摘要: Heap overflow attack is one of the major memory corruption attacks that have become prevalent for decades. To defeat this attack,many protection metho ...
作者: Yumin Hou;Hu He;Xu Yang;Deyuan Guo;Xu Wang;Jiawei Fu;Keni Qiu (Institute of Microelectronics Tsinghua University Institute of Microelectronics Tsinghua University School of Software Beijing Institute of Technology Institute of Microelectronics Tsinghua University Institute of Microelectronics Tsinghua University Institute of Microelectronics Tsinghua University College of Information Engineering Capital Normal University)
出处: VLSI Design 2016 Vol.2016 P2
摘要: This paper proposes FuMicro, a fused microarchitecture integrating both in-order superscalar and Very Long Instruction Word VLIW in a single core. A p ...
作者: 王诗慧 (导师:李志强)
学位名称: 硕士
出处: 北京理工大学软件学院 2016
关键词: 多标签分类;关联分析;AdaBoost;支持向量机
摘要: 大数据时代需要进行有效的文本挖掘,文本分类是文本挖掘的关键技术之一。样本单一类别标签的假设已经无法准确描述现实对象的语义信息,并且相比于单标签分类,多标签分类问题无疑更加符合真实世界客观对象的特性和规律。目前的主流的多标签分类器主要包括CBA、CMAR、ML-kNN等方法,但都存在一定的问题。现有的 ...
作者: 徐溥 (导师:张春霞)
学位名称: 硕士
出处: 北京理工大学软件学院 2016
关键词: 知识图谱;旅游;属性值融合;属性知识扩充;学习排序
摘要: 随着计算机和互联网技术的飞速发展和广泛普及,互联网已经成为人类获取知识的最大平台之一。如何从海量的互联网数据中挖掘有价值的信息并加以利用,是目前信息检索和数据挖掘领域的重要研究问题。2012年,谷歌公司提出知识图谱的概念,使传统的互联网文本搜索形式转化为实体、属性、属性值和关系的图搜索形式。构建知识 ...
作者: 张圆园 (导师:赵小林)
学位名称: 硕士
出处: 北京理工大学软件学院 2016
关键词: 入侵检测;聚类算法;k-means;Fuzzy;ART;kohonen;隶属度
摘要: 网络入侵检测技术是抵御网络入侵的重要手段,异常检测技术是网络入侵检测的核心技术。异常检测不需要依赖先验知识库,具有更好的主动防御特性。和数据挖掘知识相结合的异常检测技术是当前网络安全环境研究的重点课题。聚类分析是基于划分的数据挖掘分析方法,基于聚类分析的异常检测技术,不但能够挖掘系统正常行为特征的模 ...
作者: 王江 (导师:马锐)
学位名称: 硕士
出处: 北京理工大学软件学院 2016
关键词: 二进制程序;离线;动态污点传播;QEMU;回溯分析
摘要: 二进制程序动态污点分析技术按照动态污点分析的分析时刻不同,可分为二进制程序在线动态污点分析技术和二进制程序离线动态污点分析技术。近些年,二进制程序在线动态污点分析技术已逐渐成为软件漏洞分析技术的研究热点之一,然而二进制程序在线动态污点分析技术由于其对被测程序边记录边进行污点传播,存在分析时间长、漏报 ...
作者: 杨秀璋 (导师:张春霞)
学位名称: 硕士
出处: 北京理工大学软件学院 2016
关键词: 实体对齐;属性对齐;多视图融合;词向量;知识图谱
摘要: 近年来,随着互联网技术的不断发展,网络信息呈爆炸式增长。人们在通过互联网快速、自由地获取信息的同时,也面临着如何从海量数据中快速精确地获取用户所需信息的难题。知识图谱通过构建知识来理解用户的查询意图,并发现令用户满意的搜索结果。实体对齐和属性对齐是知识图谱构建、Web挖掘和智能信息处理等领域的重要研 ...