KDD

SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity

Qingyuan Zhao, Murat A. Erdogdu, Hera Y. He, Anand Rajaraman, Jure Leskovec

Comments 10 pages, published in KDD 2015

Journal ref KDD '15, Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2015), Pages 1513-1522

ALOJA-ML: A Framework for Automating Characterization and Knowledge Discovery in Hadoop Deployments

Josep Ll. Berral, Nicolas Poggi, David Carrera, Aaron Call, Rob Reinauer, Daron Green

Comments Submitted to KDD'2015. Part of the Aloja Project. Partially funded by European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 639595) - HiEST Project

Journal ref Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Pages 1701-1710. ACM New York, NY, USA. 2015. ISBN: 978-1-4503-3664-2

A latent shared-component generative model for real-time disease surveillance using Twitter data

Roberto C. S. N. P. Souza, Denise E. F de Brito, Renato M. Assunção, Wagner Meira

Comments Appears in 2nd ACM SIGKDD Workshop on Connected Health at Big Data Era (BigCHat)

Survey on Feature Selection

Tarek Amr Abdallah, Beatriz de La Iglesia

Comments Report, for Data Mining class during KDD Masters Degree at University of East Anglia

Incremental Active Opinion Learning Over a Stream of Opinionated Documents

Max Zimmermann, Eirini Ntoutsi, Myra Spiliopoulou

Comments 10 pages, 14 figures, conference: WISDOM (KDD'15)

Early Identification of Violent Criminal Gang Members

Elham Shaabani, Ashkan Aleali, Paulo Shakarian, John Bertetto

Comments SIGKDD 2015

Web Content Extraction - a Meta-Analysis of its Past and Thoughts on its Future

Tim Weninger, Rodrigo Palacios, Valter Crescenzi, Thomas Gottron, Paolo Merialdo

Comments Accepted for publication in SIGKDD Explorations

Automatic Extraction of the Passing Strategies of Soccer Teams

Laszlo Gyarmati, Xavier Anguera

Comments 2015 KDD Workshop on Large-Scale Sports Analytics

Facts and Fabrications about Ebola: A Twitter Based Study

Janani Kalyanam, Sumithra Velupillai, Son Doan, Mike Conway, Gert Lanckriet

Comments Appears in SIGKDD BigCHat Workshop 2015

Mining for Causal Relationships: A Data-Driven Study of the Islamic State

Andrew Stanton, Amanda Thart, Ashish Jain, Priyank Vyas, Arpan Chatterjee, Paulo Shakarian

Journal ref Final version presented at KDD 2015

PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks

Jian Tang, Meng Qu, Qiaozhu Mei

Comments KDD 2015

The Child is Father of the Man: Foresee the Success at the Early Stage

Liangyue Li, Hanghang Tong

Comments Correct some typos in our KDD paper

AMP: a new time-frequency feature extraction method for intermittent time-series data

Duncan Barrack, James Goulding, Keith Hopcraft, Simon Preston, Gavin Smith

Comments Paper accepted in workshop on mining and learning from time series (MiLeTS) to be held in conjunction with KDD 2015 August 10- 13 2015, Sydney, Australia

Organizational Chart Inference

Jiawei Zhang, Philip S. Yu, Yuanhua Lv

Comments 10 pages, 9 figures, 1 table. The paper is accepted by KDD 2015

Dynamic Matrix Factorization with Priors on Unknown Values

Robin Devooght, Nicolas Kourtellis, Amin Mantrach

Comments in the Proceedings of 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2015

Certifying and removing disparate impact

Michael Feldman, Sorelle Friedler, John Moeller, Carlos Scheidegger, Suresh Venkatasubramanian

Comments Extended version of paper accepted at 2015 ACM SIGKDD Conference on Knowledge Discovery and Data Mining

VEWS: A Wikipedia Vandal Early Warning System

Srijan Kumar, Francesca Spezzano, V. S. Subrahmanian

Comments To appear in Proceedings of the 21st ACM SIGKDD Conference of Knowledge Discovery and Data Mining (KDD 2015)

Stream Sampling for Frequency Cap Statistics

Edith Cohen

Comments 21 pages, 4 figures, preliminary version will appear in KDD 2015

Beyond Triangles: A Distributed Framework for Estimating 3-profiles of Large Graphs

Ethan R. Elenberg, Karthikeyan Shanmugam, Michael Borokhovich, Alexandros G. Dimakis

Comments To appear in part at KDD'15

Smart Pacing for Effective Online Ad Campaign Optimization

Jian Xu, Kuang-chih Lee, Wentong Li, Hang Qi, Quan Lu

Comments KDD'15, August 10-13, 2015, Sydney, NSW, Australia

Statistical Arbitrage Mining for Display Advertising

Weinan Zhang, Jun Wang

Comments In the proceedings of the 21st ACM SIGKDD international conference on Knowledge discovery and data mining (KDD 2015)

Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts

Aaron Schein, John Paisley, David M. Blei, Hanna Wallach

Comments To appear in Proceedings of the 21st ACM SIGKDD Conference of Knowledge Discovery and Data Mining (KDD 2015)

TimeMachine: Timeline Generation for Knowledge-Base Entities

Tim Althoff, Xin Luna Dong, Kevin Murphy, Safa Alai, Van Dang, Wei Zhang

Comments To appear at ACM SIGKDD KDD'15. 12pp, 7 fig. With appendix. Demo and other info available at http://cs.stanford.edu/~althoff/timemachine/

On the Reliability of Profile Matching Across Large Online Social Networks

Oana Goga, Patrick Loiseau, Robin Sommer, Renata Teixeira, Krishna P. Gummadi

Comments 12 pages. To appear in KDD 2015. Extended version

On the Formation of Circles in Co-authorship Networks

Tanmoy Chakraborty, Sikhar Patranabis, Pawan Goyal, Animesh Mukherjee

Comments 10 pages, 8 figures, 1 table, 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Sydney, Australia, Aug 10-13, 2015

Infinite Author Topic Model based on Mixed Gamma-Negative Binomial Process

Junyu Xuan, Jie Lu, Guangquan Zhang, Richard Yi Da Xu, Xiangfeng Luo

Comments 10 pages, 5 figures, submitted to KDD conference

The Interplay Between Dynamics and Networks: Centrality, Communities, and Cheeger Inequality

Rumi Ghosh, Kristina Lerman, Shang-Hua Teng, Xiaoran Yan

Comments This is the full length version. A shorter conference paper appeared in ACM-SIGKDD 2014

Distance Queries from Sampled Data: Accurate and Efficient

Edith Cohen

Comments 13 pages; This is a full version of a KDD 2014 paper

Inferring Networks of Diffusion and Influence

Manuel Gomez-Rodriguez, Jure Leskovec, Andreas Krause

Comments Short version appeared in ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2010. Long version submitted to ACM Transactions on Knowledge Discovery from Data (TKDD)

Sequential Feature Explanations for Anomaly Detection

Md Amran Siddiqui, Alan Fern, Thomas G. Dietterich, Weng-Keen Wong

Comments 9 pages, 4 figures and submitted to KDD 2015