KDD

Deep Sequence Learning with Auxiliary Information for Traffic Prediction

Binbing Liao, Jingqing Zhang, Chao Wu, Douglas McIlwraith, Tong Chen, Shengwen Yang, Yike Guo, Fei Wu

Comments KDD 2018. The first two authors share equal contributions

Disturbance Grassmann Kernels for Subspace-Based Learning

Junyuan Hong, Huanhuan Chen, Feng Lin

Comments This paper include 3 figures, 10 pages, and has been accpeted to SIGKDD'18

Discovering Latent Patterns of Urban Cultural Interactions in WeChat for Modern City Planning

Xiao Zhou, Anastasios Noulas, Cecilia Mascoloo, Zhongxiang Zhao

Comments 10 pages, 10 figures, KDD'18: The 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU

Harini Suresh, Jen J. Gong, John Guttag

Comments KDD 2018

Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding

Kyle Hundman, Valentino Constantinou, Christopher Laporte, Ian Colwell, Tom Soderstrom

Comments KDD 2018 camera-ready version

Scalable k-Means Clustering via Lightweight Coresets

Olivier Bachem, Mario Lucic, Andreas Krause

Comments To appear in the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD)

Corpus Conversion Service: A Machine Learning Platform to Ingest Documents at Scale

Peter W J Staar, Michele Dolfi, Christoph Auer, Costas Bekas

Comments Accepted paper at KDD 2018 conference

Graph Convolutional Neural Networks for Web-Scale Recommender Systems

Rex Ying, Ruining He, Kaifeng Chen, Pong Eksombatchai, William L. Hamilton, Jure Leskovec

Comments KDD 2018

Multi-Cast Attention Networks for Retrieval-based Question Answering and Response Prediction

Yi Tay, Luu Anh Tuan, Siu Cheung Hui

Comments Accepted to KDD 2018 (Paper titled only "Multi-Cast Attention Networks" in KDD version)

Accelerating Large-Scale Data Analysis by Offloading to High-Performance Computing Libraries using Alchemist

Alex Gittens, Kai Rothauge, Shusen Wang, Michael W. Mahoney, Lisa Gerhardt, Prabhat, Jey Kottalam, Michael Ringenburg, Kristyn Maschhoff

Comments Accepted for publication in Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, London, UK, 2018

NetLSD: Hearing the Shape of a Graph

Anton Tsitsulin, Davide Mottin, Panagiotis Karras, Alex Bronstein, Emmanuel Müller

Comments KDD '18: The 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, August 19--23, 2018, London, United Kingdom

Hyperparameter Importance Across Datasets

J. N. van Rijn, F. Hutter

Comments \c{opyright} 2018. Copyright is held by the owner/author(s). Publication rights licensed to ACM. This is the author's version of the work. It is posted here for your personal use, not for redistribution. The definitive Version of Record was published in Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

A Distributed Quasi-Newton Algorithm for Empirical Risk Minimization with Nonsmooth Regularization

Ching-pei Lee, Cong Han Lim, Stephen J. Wright

Comments In the proceedings of The 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Multimodal Sentiment Analysis To Explore the Structure of Emotions

Anthony Hu, Seth Flaxman

Comments Accepted as a conference paper at KDD 2018

Career Transitions and Trajectories: A Case Study in Computing

Tara Safavi, Maryam Davoodi, Danai Koutra

Comments To appear in KDD 2018

Quantifying Uncertainty in Discrete-Continuous and Skewed Data with Bayesian Deep Learning

Thomas Vandal, Evan Kodra, Jennifer Dy, Sangram Ganguly, Ramakrishna Nemani, Auroop R. Ganguly

Comments 10 Pages

Journal ref The 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, August 19--23, 2018, London, United Kingdom

Detection of Paroxysmal Atrial Fibrillation using Attention-based Bidirectional Recurrent Neural Networks

Supreeth P. Shashikumar, Amit J. Shah, Gari D. Clifford, Shamim Nemati

Comments Accepted to the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018), London, UK, 2018

Learning and Transferring IDs Representation in E-commerce

Kui Zhao, Yuechuan Li, Zhaoqian Shuai, Cheng Yang

Comments KDD'18, 9 pages

Long-term face tracking in the wild using deep learning

Kunlei Zhang, Elaheh Rashedi, Elaheh Barati, Xue-wen Chen

Comments KDD Workshop on Large-scale Deep Learning for Data Mining, August 2016, San Fransisco, CA, USA

Using Machine Learning to Assess the Risk of and Prevent Water Main Breaks

Avishek Kumar, Syed Ali Asad Rizvi, Benjamin Brooks, R. Ali Vanderveld, Kevin H. Wilson, Chad Kenney, Sam Edelstein, Adria Finch, Andrew Maxwell, Joe Zuckerbraun, Rayid Ghani

Comments SIGKDD'18 London, United Kingdom

Consensus Community Detection in Multilayer Networks using Parameter-free Graph Pruning

Domenico Mandaglio, Alessia Amelio, Andrea Tagarelli

Comments Accepted as regular paper at The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2018)

Cross-Domain Adversarial Auto-Encoder

Haodi Hou, Jing Huo, Yang Gao

Comments Under review as a conference paper of KDD 2018

RIPEx: Extracting malicious IP addresses from security forums using cross-forum learning

Joobin Gharibshah, Evangelos E. Papalexakis, Michalis Faloutsos

Comments 12 pages, Accepted in n 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2018

Mining User Behavioral Rules from Smartphone Data through Association Analysis

Iqbal H. Sarker, Flora D. Salim

Comments 12 pages, Springer, The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2018), Melbourne, Australia

Incorporating Word Embeddings into Open Directory Project based Large-scale Classification

Kang-Min Kim, Aliyeva Dinara, Byung-Ju Choi, SangKeun Lee

Comments 12 pages, 2 figures, In proceedings of the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)

A Decision Tree Approach to Predicting Recidivism in Domestic Violence

Senuri Wijenayake, Timothy Graham, Peter Christen

Comments 12 pages; Accepted at The 2018 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)

DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection

Bokai Cao, Lei Zheng, Chenwei Zhang, Philip S. Yu, Andrea Piscitello, John Zulueta, Olu Ajilore, Kelly Ryan, Alex D. Leow

Comments KDD 2017

Deep Choice Model Using Pointer Networks for Airline Itinerary Prediction

Alejandro Mottini, Rodrigo Acuna-Agost

Journal ref KDD 2017, Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Pages 1575-1583

Local Partition in Rich Graphs

Scott Freitas, Hanghang Tong, Nan Cao, Yinglong Xia

Comments Under KDD 2018 review

Automating Reading Comprehension by Generating Question and Answer Pairs

Vishwajeet Kumar, Kireeti Boorla, Yogesh Meena, Ganesh Ramakrishnan, Yuan-Fang Li

Comments 12 pages, 3 figures, 2 tables, Accepted for publication at 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2018