KDD DISSERTATION AWARD 2015

Congratulations to all the outstanding students who were nominated and to the winners of this year. The award winner will also receive a free registration to attend the KDD conference. Nominations are limited to one doctoral dissertation per department or academic unit. Twitter Feed Follow Us on Twitter. April 30, The annual SIGKDD doctoral dissertation award recognizes excellent research by doctoral candidates in the field of data mining and knowledge discovery. The winner and runners-up will be invited to present his or her work in a special session at the KDD conference. All nomination materials must be submitted electronically to:

These unique properties of social media present novel challenges for computing distrust in social media: For dissertations selected as award recipients, a copyright transfer form signed by the candidate is required giving permission for the dissertation to appear on KDD. Late submissions will not be accepted. Twitter Feed Follow Us on Twitter. The annual SIGKDD doctoral dissertation award recognizes excellent research by doctoral candidates in the field of data mining and knowledge discovery. The winner and runners-up will be invited to present his or her work in a special session at the KDD conference.

The annual SIGKDD doctoral dissertation award recognizes excellent research by doctoral candidates in the field of data mining and knowledge discovery. Furthermore, the final dissertation defense must not have taken place prior to January 1st, Since distrust is a special type of negative links, I demonstrate the generalization of properties and algorithms of distrust to negative links, i.

Today’s social and internet networks contain millions or even billions of nodes, and copious amounts of side information context such as text, attribute, temporal, image and video data. A nomination must include: Award Presentation at KDD Submissions must be received by the submission deadline see below.

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A nomination letter, written by the dissertation advisor dissertatioh the candidate. April 30, This annual award was established by ACM SIGKDD in to recognize excellent research by doctoral candidates in the field of data mining, data science, and knowledge discovery.

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All nomination materials awagd be submitted electronically to: In particular, computational tasks are designed to understand distrust, a innovative task, i. We received 15 nominations this year. Meanwhile, users in social media can be both passive content consumers and dssertation content producers, causing the quality of user-generated content can vary dramatically from excellence to abuse or spam, which results in a problem of information credibility.

Proposed methodologies are demonstrated in applications to a variety of domains, such as academic service, event log and news article explorer, and product review analytics.

kdd dissertation award 2015

A myriad of social media services are emerging in recent years that allow people to communicate and express themselves conveniently and easily. Dussertation nomination materials must be in English. One copy of the doctoral dissertation. Optionally, the nomination may include up to two supporting letters from other individuals, discussing the significance of the dissertation.

kdd dissertation award 2015

Haixun Wang, Facebook, haixun [at] fb. Based on this view, the thesis lays down dossertation mining framework of: After receiving the nominations, we invited leading experts to serve on the award selection committee from all over the world. By subscribing you accept KDnuggets Privacy Policy.

The runners-up will receive a plaque awqrd the conference. These efforts come together in a novel mixed-membership triangle motif model that scales to large networks with over million nodes on just a few cluster machines, and can be readily extended to accommodate network context using the other techniques presented herein.

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The winner and runners-up will be invited to present his or her work in a special session at the KDD conference. The runners-up will receive a plaque at the conference. A thorough analysis of a social network should consider both the graph and the associated side information, yet we also expect the algorithm to execute in a reasonable amount of time on even the largest networks.

The thesis studies how to uncover semantically rich structures, such as topical hierarchies and relationships among entities, from massive data that may contain both unstructured text and interconnected entities.

SIGKDD Awards : SIGKDD Dissertation Award Winners

Tags sigkdd qirong ho jiliang tang jiawei han huan liu eric xing dissertation awards chi wang This is a change from previous years’ policy that each department can only nominate one student. Modeling Large Social Networks in Context. During the second phase, all members without COI were invited to rank the top 6 nominations. Dissertations of a doctoral candidate must be nominated by their primary Ph. The award winner will also receive a free registration to attend the KDD conference.

AugustSydney, Australia. The emergence of the cloud, kdf of things, social media etc.