KDD 2015 DISSERTATION AWARD

The widespread use and growing popularity of online collaborative content sites e. Moreover, most online activities involve interactions between multiple items and different users and interpreting such complex user-item interactions becomes intractable too. This SF Bay ACM annual event combines sessions, keynote, and optional tutorial – great opportunity to learn about Data Science and connect with others, and almost free. Twitter Feed Follow Us on Twitter. Given large-scale online image collections and associated meta-data, we aim to create the collective storylines by jointly inferring the temporal trends and the overlapping contents of image collections.

August , Sydney, Australia. He has published over peer-reviewed papers including papers on detecting bots on Twitter, detecting trolls on Slashdot, and detecting vandals on Wikipedia. Late submissions, or documents in other formats will not be accepted. Authors are strongly encouraged to make data and code publicly available whenever possible. Student Travel Award Application. The pervasive use of social media generates massive data at an unprecedented rate. 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

Doctoral Dissertation Award Nominations. He holds seven patents and 2 dissertatinoand he has given over 40 tutorials and over 20 invited distinguished lectures. SIGKDD encourages participation of women and under-represented minorities, as well as participation of students from under-represented institutions.

kdd 2015 dissertation award

Information on the previous successful editions of the Industry and Government Invited Talks can be found at:. He has published over peer-reviewed papers including papers on detecting bots on Twitter, detecting trolls on Slashdot, and detecting vandals on Wikipedia. Submissions must be received by the submission deadline. Submitted papers must describe work that is substantively different from work that has already been published, or accepted for publication, or submitted in parallel to other conferences or to journals.

  PU SONGLING ESSAY

kdd 2015 dissertation award

The award winner will also receive a free registration to attend the KDD conference. This SF Bay ACM annual event combines sessions, keynote, and optional tutorial – great opportunity to learn about Data Science and connect with others, and almost free.

kdd 2015 dissertation award

In this thesis, we develop a family of accurate and scalable community detection methods and apply them to large networks. This tutorial discusses three broad directions of state-of-the-art data-driven methods to model malicious behavior: For example, popular restaurants listed in the review site Yelp routinely receive several thousand ratings and reviews, thereby causing decision making cumbersome. Only PDF documents are dissetration.

His research interests focus on data-driven behavioral analytics for prediction, recommendation, and suspicious behavior detection. Our research concerns developing novel data mining and exploration algorithms to formally analyze how user and item attributes influence user-item interactions. At most one award will be given each year in each category. All nomination materials must be submitted electronically to: Propose or organize kds and attend this awadd meeting. Papers submitted to the Research Track are solicited in all areas of data mining, knowledge discovery, and large-scale data analytics, including, but not limited to:.

The track will feature highly influential speakers who have directly contributed to successful data mining applications in their respective fields.

Data-Driven Approaches towards Malicious Behavior Modeling

Disserttion you submit your paper to CMT, you will be asked to select which terms from a pre-defined list of subjects could best be used to describe the content of your paper. However, little attention is paid on distrust in social media. This thesis develops flexible estimation procedures with provable theoretical aaward for uncovering unknown hidden structures underlying data generating process. 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 17 Tutorial – Malicious Behavior Modeling

Workshop proposals should be emailed to workshops kdd. Michael Stonebraker, described as the greatest living contributor to database technology, on how he adjusts to the award and what trends he foresees in database management systems and big data.

  AVARIA SKYHOOK THESIS

More specifically, the goal of this dissertation can be summarized as follows. The pervasive use of social media generates massive data at an unprecedented rate. Submitted papers will go through a competitive peer review process.

SIGKDD Awards : SIGKDD Dissertation Award

Ideally, a tutorial will cover the state-of-the-art research, development and applications in a specific data mining direction, and stimulate and facilitate future 201.

As the final part of the thesis, we present several extensions of our models such that we can detect communities with a bipartite connectivity structure and we combine the node attributes and the network structure for community detection. It has also created new opportunities for producers of such items to improve business by designing better products, composing interesting advertisement snippets, awrd more effective personalized recommendation systems, etc.

Transactions on Knowledge Discovery from Data TKDD welcomes papers on a full range of research in the knowledge discovery and analysis of diverse forms of data. 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. Late submissions, or documents in other formats will not be accepted. 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.

Industry and Government invited talks from recognized thought-leaders.

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