网站大量收购独家精品文档,联系QQ:2885784924

August 12, 2007.ppt

  1. 1、本文档共64页,可阅读全部内容。
  2. 2、有哪些信誉好的足球投注网站(book118)网站文档一经付费(服务费),不意味着购买了该文档的版权,仅供个人/单位学习、研究之用,不得用于商业用途,未经授权,严禁复制、发行、汇编、翻译或者网络传播等,侵权必究。
  3. 3、本站所有内容均由合作方或网友上传,本站不对文档的完整性、权威性及其观点立场正确性做任何保证或承诺!文档内容仅供研究参考,付费前请自行鉴别。如您付费,意味着您自己接受本站规则且自行承担风险,本站不退款、不进行额外附加服务;查看《如何避免下载的几个坑》。如果您已付费下载过本站文档,您可以点击 这里二次下载
  4. 4、如文档侵犯商业秘密、侵犯著作权、侵犯人身权等,请点击“版权申诉”(推荐),也可以打举报电话:400-050-0827(电话支持时间:9:00-18:30)。
查看更多
August 12, 2007.ppt

KDD-07 Invited Innovation Talk August 12, 2007 Thanks and Gratitude My family: my wife Kristina and my 4 kids; my parents and my sisters My academic roots: The University of Michigan, Ann Arbor – my Ph.D. committee, including Ramasamy Uthurusamy (then at GM Research Labs), grad student colleagues (Jie Cheng), Internships at GM Research and at NASA’s JPL My Mentors and Collaborators Caltech Astronomy (G. Djorgovski, Nick Weir), Pietro Perona and M.C. Burl JPLNASA Colleagues: Padhraic Smyth, Rich Doyle, Steve Chien, Paul Stolorz, Peter Cheeseman, David Atkinson, many others… Microsoft Colleagues: Decision Theory Group, Surajit Chadhuri, Jim Gray, Paul Bradley, Bassel Ojjeh, Nick Besbeas, Heikki Mannila, Rick Rashid, many others Fellows in KDD: Gregpry Piatetsky-Shapiro, Daryl Pregibon, Christos Faloutsos, Geoff Webb, Bob Grossman, Jiawei Han, Eric Tsui, Tharam Dillon, Chengqi Zhang, many, many colleagues My Business Partners Bassel Ojjeh, Nick Besbeas, many VC’s, many advisers and strategic clients including Microsoft SQL Server and sales teams My Yahoo! Colleagues: Zod Nazem, Jerry Yang, David Filo, Yahoo! exec team, Prabhakar Raghavan, Pavel Berkhin, Nick Weir, Hunter Madsen, Nitin Sharma, Raghu Ramakrishnan, Y! Research folks, many at Yahoo SDS and current and previous Yahoo! employees A Data Miner’s Story – Getting to Know the Grand Challenges Personal Observations of a Data Mining Disciple Overview The setting Why data mining is a must? Why data mining is not happening? A Data Miner’s Story Grand Challenges: Pragmatic Grand Challenges: Technical Some case studies Concluding Remarks The data gap… The Machinery Moves on: Moore’s law: processing “capacity” doubles every 18 months : CPU, cache, memory It’s more aggressive cousin: Disk storage “capacity” doubles every 9 months The Demand is exploding: Every business is an eBusiness Scientific Instruments and Moore’s law Government The Internet – the ubiquity of the Web The Talent Shortage What is Data Mining? Fin

文档评论(0)

gshshxx + 关注
实名认证
内容提供者

该用户很懒,什么也没介绍

1亿VIP精品文档

相关文档