In particular, our results show that dense network cores stem from the overlaps between many communities. Only PDF documents are accepted. Typically, the amount of user feedback e. The chief objective of this dissertation is to figure out solutions to these challenges via innovative research and novel methods. All nomination materials must be in English. August , Sydney, Australia. Additional information about formatting and style files are available online at:
In this thesis, we develop a formalism for reasoning about human-powered data management, and use this formalism to design: The methods presented herein combine the flexibility of statistical models with key ideas and empirical observations from the data mining and social networks communities, and are supported by distributed systems research for cluster computing. Congratulations to all the outstanding students who were nominated and to the winners of this year. Since distrust is a special type of negative links, I demonstrate the generalization of properties and algorithms of distrust to negative links, i. Computational models developed with large-scale real-world behavioral data have shown significant progress in identifying these malicious entities. Furthermore, the final dissertation defense must not have taken place prior to January 1st,
The award winner will also receive a free registration to attend the KDD conference. In case workshop zward need extra time to prepare their workshop, early decisions may be considered if justified. Twitter Feed Follow Us on Twitter.
Submissions must be received by the submission deadline. This thesis develops flexible estimation procedures with provable theoretical guarantees for uncovering unknown hidden structures underlying data generating process. Tags sigkdd qirong ho jiliang tang jiawei han huan liu eric xing dissertation awards chi wang Each nominated dissertation must also have been successfully defended by the candidate, and the final version of each nominated dissertation must have dussertation accepted by the candidate’s academic unit.
The dissertatkon dissertation defense should take place at the nominee’s host institution before the submission deadline. Overall Presentation and Readability of Dissertation including organization, writing style and exposition, etc.
SIGKDD Awards : SIGKDD Dissertation Award Winners
Travel may or may not be partially covered depending on the total availability of funds and the number of awards given. Jian Pei wins ACM SIGKDD Service Award for his significant technical contributions to the principles, practice and application of data mining disertation for his outstanding services to society and the data mining community.
We encourage tutorials in areas that are somewhat different from the usual KDD mainstream, but still very much related to KDD mission and objectives of gaining insight from data. The talks and discussions will focus on innovative and leading-edge, large-scale industry or government applications of data mining in areas such as finance, health-care, bio-informatics, public policy, infrastructure transportation, utilities, etc.
He obtained his Ph. His work stands squarely at the intersection of big data analytics for increased security, policy, and business needs. As per KDD tradition, reviews are not double-blind, and author names and affiliations should be listed.
We received 19 nominations this year, a new record in the history of this award. Pedro Domingos for his foundational research in data stream analysis, cost-sensitive classification, adversarial awars, and Markov logic networks.
He is an ACM Fellow. In particular, we would like disesrtation encourage organizers to avoid a mini-conference format by i encouraging the submission of position papers and extended abstracts, ii allowing plenty of time for discussions and debates, and iii organizing workshop panels. The rights retained by authors who transfer copyright to ACM can be found here.
The emergence of the cloud, internet of things, social media etc. Widespread access to photo-taking devices and high speed Internet has combined with rampant social networking to produce an explosion in picture sharing on Web platforms. Note that there will be an author response phase between submission and decisions.
Call for Participation, Papers, Workshops, Tutorials, Nominations
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. Odd is a great way to stay connected and contribute back. In this dissertation, we choose to focus on short user feedback i.
Workshops are tentatively scheduled for August 10, 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. Submissions must clearly identify one of the following three areas they fall into: The safety, reliability and usability of web platforms are often compromised by malicious entities, such as vandals on Wikipedia, bot connections on Twitter, fake likes on Facebook, and several more.
Statistical analysis in these high-dimensional data sets is possible only if awrad estimation procedure exploits hidden structures underlying data. The winner and runners-up will be invited to present his or her work in a special session at the KDD conference.
Computing Distrust in Social Media. Possible workshop topics include all areas of data mining and knowledge discovery, machine learning, statisticsand data and information sciencesbut are not limited to these.
This tutorial discusses three broad directions of state-of-the-art data-driven methods to model malicious behavior: