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【題目】：On Mining Big Data

【報(bào)告人】：Professor Philip S. Yu,美國(guó)伊利諾大學(xué)Waxler教授

【時(shí)間】：2014年1月6日（星期一）10:20-11:30

【地點(diǎn)】：bwin必贏唯一官網(wǎng)313會(huì)議室

【Abstract】:

The problem of big data has become increasingly importance in recent years. On the one hand, the big data is an asset that potentially can offer tremendous value or reward to the data owner. On the other hand, it poses tremendous challenges to realize the value out of the big data. The very nature of the big data poses challenges not only due to its volume, and velocity of being generated, but also its variety and veracity. Here variety means the data collected from various sources can have different formats from structured data to text to network/graph data to image, etc. Veracity concerns the trustworthiness of the data as the various data sources can have different reliability. In this talk, we will discuss these issues and approaches to address them.

【Professor Philip S. Yu簡(jiǎn)介】：

Philip S. Yu教授是國(guó)際數(shù)據(jù)庫(kù)和數(shù)據(jù)挖掘等領(lǐng)域的先驅(qū)之一，早年在臺(tái)大獲學(xué)士學(xué)位，在美國(guó)斯坦福大學(xué)獲碩士和博士學(xué)位，在美國(guó)紐約大學(xué)獲工商管理學(xué)位。現(xiàn)任美國(guó)伊利諾大學(xué)芝加哥分校Waxler教授，之前是美國(guó)IBM研究院的高級(jí)部門(mén)主管，是IEEE和ACM的Fellow，曾是IEEE Transactions on Knowledge and Data Engineering的主編?，F(xiàn)任多份國(guó)際學(xué)報(bào)的編委。Yu教授共發(fā)表了650多篇高水平學(xué)術(shù)論文，是計(jì)算機(jī)與信息科學(xué)領(lǐng)域唯一一位發(fā)表論文數(shù)超過(guò)500篇的學(xué)者，被授予了300多項(xiàng)專(zhuān)利，總共被它引超過(guò)20000多次，列國(guó)際計(jì)算機(jī)與信息科學(xué)學(xué)術(shù)界文獻(xiàn)它引次數(shù)前30位，獲得過(guò)許多榮譽(yù)和獎(jiǎng)項(xiàng)，包括IBM發(fā)明大師獎(jiǎng)。