数据挖掘方面重要会议的最佳paper集合
数据挖掘方面重要会议的最佳paper集合,兴许将陆续分析一下内容:
主要有KDD、SIGMOD、VLDB、ICML、SIGIR
|
2013 |
Edo Liberty, Yahoo! Research |
|
|
2012 |
Searching |
Thanawin Rakthanmanon, University of California Riverside; et al. |
|
2011 |
Leakage |
Shachar Kaufman, Tel-Aviv University; et al. |
|
2010 |
Hsiang-Fu Yu, National Taiwan University; et al. |
|
|
Dafna Shahaf & Carlos Guestrin, Carnegie Mellon University |
||
|
2009 |
Yehuda Koren, Yahoo! Research |
|
|
2008 |
Fastanova: |
Xiang Zhang, University of North Carolina at Chapel Hill; et al. |
|
2007 |
Predictive |
Deepak Agarwal & Srujana Merugu, Yahoo! Research |
|
2006 |
Thorsten Joachims, Cornell University |
|
|
2005 |
Graphs |
Jure Leskovec, Carnegie Mellon University; et al. |
|
2004 |
Sugato Basu, University of Texas at Austin; et al. |
|
|
2003 |
David Kempe, Cornell University; et al. |
|
|
2002 |
Darya Chudova & Padhraic Smyth, University of California Irvine |
|
|
2001 |
Edwin M. Knorr, University of British Columbia; et al. |
|
|
2000 |
Hancock: |
Corinna Cortes, AT&T Laboratories; et al. |
|
1999 |
MetaCost: |
Pedro Domingos, Universidade Técnica de Lisboa |
|
1998 |
Pedro Domingos, Universidade Técnica de Lisboa |
|
|
1997 |
Foster Provost & Tom Fawcett, NYNEX Science and Technology |
|
|
2013 |
Xiaocheng Hu, The Chinese University of Hong Kong; et al. |
|
|
2012 |
Barzan Mozafari, Massachusetts Institute of Technology; et al. |
|
|
2011 |
Entangled |
Nitin Gupta, Cornell University; et al. |
|
2010 |
FAST: |
Changkyu Kim, Intel; et al. |
|
2009 |
Christopher Olston, Yahoo! Research; et al. |
|
|
2008 |
Michael J. Cahill, University of Sydney; et al. |
|
|
Hanan Samet, University of Maryland; et al. |
||
|
2007 |
Sergey Melnik, Microsoft Research; et al. |
|
|
Christopher Jermaine, University of Florida; et al. |
||
|
2006 |
To |
Panagiotis G. Ipeirotis, New York University; et al. |
|
2004 |
Indexing |
Yuhan Cai & Raymond T. Ng, University of British Columbia |
|
2003 |
Andrew Witkowski, Oracle; et al. |
|
|
2001 |
Locally |
Eamonn Keogh, University of California Irvine; et al. |
|
2000 |
Hartmut Liefke, University of Pennsylvania |
|
|
1999 |
DynaMat: |
Yannis Kotidis & Nick Roussopoulos, University of Maryland |
|
1998 |
Efficient |
David Lomet & Gerhard Weikum, Microsoft Research |
|
Integrating |
Sunita Sarawagi, IBM Research; et al. |
|
|
1997 |
Stefan Berchtold, University of Munich; et al. |
|
|
1996 |
Venky Harinarayan, Stanford University; et al. |
|
|
2013 |
DisC |
Marina Drosou & Evaggelia Pitoura, University of Ioannina |
|
2012 |
Dense |
Albert Angel, University of Toronto; et al. |
|
2011 |
Umar Farooq Minhas, University of Waterloo; et al. |
|
|
2010 |
Shuai Ma, University of Edinburgh; et al. |
|
|
2009 |
Jian Li, University of Maryland; et al. |
|
|
2008 |
Graham Cormode & Marios Hadjieleftheriou, AT&T Laboratories |
|
|
Nicolas Bruno & Surajit Chaudhuri, Microsoft Research |
||
|
2007 |
Scalable |
Daniel J. Abadi, Massachusetts Institute of Technology; et al. |
|
2006 |
Trustworthy |
Soumyadeb Mitra, University of Illinois at Urbana-Champaign; et al. |
|
2005 |
Cache-conscious |
Amol Ghoting, Ohio State University; et al. |
|
2004 |
Amol Deshpande, University of California Berkeley; et al. |
|
|
2001 |
Anastassia Ailamaki, Carnegie Mellon University; et al. |
|
|
1997 |
Wee Teck Ng & Peter M. Chen, University of Michigan |
|
|
2013 |
Roi Livni, The Hebrew University of Jerusalum; et al. |
|
|
Fast Semidifferential-based |
Rishabh Iyer, University of Washington; et al. |
|
|
2012 |
Bayesian |
Sungjin Ahn, University of California Irvine; et al. |
|
2011 |
Computational |
Kevin Waugh, Carnegie Mellon University; et al. |
|
2010 |
Le Song, Carnegie Mellon University; et al. |
|
|
2009 |
Blake Shaw & Tony Jebara, Columbia University |
|
|
2008 |
Shai Shalev-Shwartz & Nathan Srebro, Toyota Technological Institute at Chicago |
|
|
2007 |
Jason V. Davis, University of Texas at Austin; et al. |
|
|
2006 |
Ronan Collobert, NEC Labs America; et al. |
|
|
2005 |
A support |
Thorsten Joachims, Cornell University |
|
1999 |
Justin A. Boyan, NASA Ames Research Center |
|
|
2013 |
Ryen W. White, Microsoft Research |
|
|
2012 |
Mark Smucker & Charles Clarke, University of Waterloo |
|
|
2011 |
Find |
Mikhail Ageev, Moscow State University; et al. |
|
2010 |
Assessing |
Ryen W. White, Microsoft Research |
|
2009 |
Jaime Arguello, Carnegie Mellon University; et al. |
|
|
2008 |
Jeremy Pickens, FX Palo Alto Lab; et al. |
|
|
2007 |
Studying |
Ryen W. White, Microsoft Research; et al. |
|
2006 |
Ben Carterette, University of Massachusetts Amherst; et al. |
|
|
2005 |
Elad Yom-Tov, IBM Research; et al. |
|
|
2004 |
Hui Fang, University of Illinois at Urbana-Champaign; et al. |
|
|
2003 |
Re-examining |
Ian Ruthven, University of Strathclyde |
|
2002 |
Yi Zhang, Carnegie Mellon University; et al. |
|
|
2001 |
James Allan, University of Massachusetts Amherst; et al. |
|
|
2000 |
IR |
Kalervo Järvelin & Jaana Kekäläinen, University of Tampere |
|
1999 |
Jian-Yun Nie, Université de Montréal; et al. |
|
|
1998 |
A theory |
Warren R. Greiff, University of Massachusetts Amherst |
|
1997 |
Feature |
Hwee Tou Ng, DSO National Laboratories; et al. |
|
1996 |
Retrieving |
Gareth Jones, University of Cambridge; et al. |
推荐一个站点,感谢作者的努力搜集,主要是各种顶级会议的最佳论文集合。
数据挖掘方面重要会议的最佳paper集合的更多相关文章
- C#最佳工具集合:IDE、分析、自动化工具等
C#是企业中广泛使用的编程语言,特别是那些依赖微软的程序语言.如果您使用C#构建应用程序,则最有可能使用Visual Studio,并且已经寻找了一些扩展来对您的开发进行管理.但是,这个工具列表可能会 ...
- InfoQ一波文章:AdaSearch/JAX/TF_Serving/leon.bottou.org/Neural_ODE/NeurIPS_2018最佳论文
和 Nested Partition 有相通之处? 伯克利提出 AdaSearch:一种用于自适应搜索的逐步消除方法 在机器学习领域的诸多任务当中,我们通常希望能够立足预先给定的固定数据集找出问题的答 ...
- paper 59:招聘
借Valse宝地发条招聘广告:D[腾讯优图]技术大咖招聘 欢迎各位技术大咖尤其应届优秀毕业生投递简历.简历投递:youtu@tencent.com简历投递,邮件标题请按照以下格式:[腾讯_上海_招聘 ...
- CCKS 2018 | 最佳论文:南京大学提出DSKG,将多层RNN用于知识图谱补全
作者:Lingbing Guo.Qingheng Zhang.Weiyi Ge.Wei Hu.Yuzhong Qu 2018 年 8 月 14-17 日,主题为「知识计算与语言理解」的 2018 全国 ...
- FPGA 17最佳论文导读 ESE: Efficient Speech Recognition Engine with Compressed LSTM on FPGA
欢迎转载,转载请注明:本文出自Bin的专栏blog.csdn.net/xbinworld. 技术交流QQ群:433250724,欢迎对算法.机器学习技术感兴趣的同学加入. 后面陆续写一些关于神经网络加 ...
- 数据挖掘学习指引<一>
对于当前热门的大数据.云计算等技术,被百度.阿里等国内互联网巨头炒的非常火,数据挖掘作为一门非常有用的技术,在商业管理.市场分析.科学计算等大数据方面发挥着大作用. 数据挖掘技术也变得非常火,why? ...
- 【转载】R中有关数据挖掘的包
下面列出了可用于数据挖掘的R包和函数的集合.其中一些不是专门为了数据挖掘而开发,但数据挖掘过程中这些包能帮我们不少忙,所以也包含进来. 1.聚类 常用的包: fpc,cluster,pvclust,m ...
- sprint3 【每日scrum】 TD助手站立会议第十天
站立会议 组员 昨天 今天 困难 签到 刘铸辉 (组长) 团队进入最终的功能测试阶段,准备发布Beta版 和团队发布Beta版,并开总结会议 总结会议 Y 刘静 团队集合软件测试 软件发布 没有 Y ...
- 老哥,您看我这篇Java集合,还有机会评优吗?
集合在我们日常开发使用的次数数不胜数,ArrayList/LinkedList/HashMap/HashSet······信手拈来,抬手就拿来用,在 IDE 上龙飞凤舞,但是作为一名合格的优雅的程序猿 ...
随机推荐
- Centos7搭建php+mysql环境(整理篇)
终于将mysql+php环境搭建成功,将之前的整理一下,环境:centos7,本机IP:192.168.1.24,数据库用户名及密码都设为root,测试文件路径:/var/www/html 1.取消c ...
- 『重构--改善既有代码的设计』读书笔记----Move Field
在类与类之间搬移状态和行为,是重构过程中必不可少的步骤.很有可能在你现在觉得正常的类,等你到了下个礼拜你就会觉得不合适.或者你在下个礼拜创建了一个新的类并且你需要讲现在类的部分字段和行为移动到这个新类 ...
- PHP获取客户端和服务器端IP
客户端的ip变量: $_SERVER['REMOTE_ADDR'] :客户端IP,也有可能是代理IP $_SERVER['HTTP_CLIENT_IP']:代理端的IP,可能存在,也可能伪造 $_SE ...
- github的访问变慢了
以下个人观点:把操作系统的自主研究还有处理器自主研究列入重点,还有互联网上的种种动作,我发现里面似乎揭示了某些迹象,科研真的不应该以牺牲大部分人的河法全益为代价甚至目的.当某一天win不可能出现在出厂 ...
- 运行在TQ2440开发板上以及X86平台上的linux内核编译
一.运行在TQ2440开发板上的linux内核编译 1.获取源码并解压 直接使用天嵌移植好的“linux-2.6.30.4_20100531.tar.bz2”源码包. 解压(天嵌默认解压到/opt/E ...
- 用链表解决if语句过多的问题(C/C++实现)
起因 http://www.cnblogs.com/code-style/p/3499408.html 设计模式的解决方案(基于python语言) http://www.cnblogs.com/cod ...
- Count The Carries
hdu:http://acm.hdu.edu.cn/showproblem.php?pid=4588 题意:给你 a,b两个数,然后让a到b之间的数做2进制的加法,问你与多少次进位.例如:1,3,1+ ...
- struts2令牌,防止重复提交
struts2的令牌,可以用来防止重复提交,其原理是在提交jsp页面中,写入一个隐藏域name="token",然后在action中定义一个变量token并get.set.在服务器 ...
- 华为5700交换机通过外部开源protal和本地aaa用户认证的一些问题
http://support.huawei.com/ecommunity/bbs/10178271.html?p=1#p0 华为5700交换机通过外部开源protal和本地aaa用户认证的一些问题 各 ...
- 数据结构(动态树):UOJ 207 共价大爷游长沙
aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAABHwAAAJZCAIAAABUW7XHAAAgAElEQVR4nOy93cstx5Xm2f9TXh2EOe