- Dhivya Eswaran, Christos Faloutsos:
SedanSpot: Detecting Anomalies in Edge Streams. ICDM 2018: 953-958 - Avigdor Gal, Haggai Roitman, Roee Shraga:
Heterogeneous Data Integration by Learning to Rerank Schema Matches. ICDM 2018: 959-964 - Shaghayegh Gharghabi, Shima Imani, Anthony J. Bagnall, Amirali Darvishzadeh, Eamonn J. Keogh:
Matrix Profile XII: MPdist: A Novel Time Series Distance Measure to Allow Data Mining in More Challenging Scenarios. ICDM 2018: 965-970 - Robert A. Giaquinto, Arindam Banerjee:
DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word Corpora. ICDM 2018: 971-976 - Guilherme Gomes, Vinayak A. Rao, Jennifer Neville:
Multi-level Hypothesis Testing for Populations of Heterogeneous Networks. ICDM 2018: 977-982 - Xiaolong Gong, Linpeng Huang, Fuwei Wang:
Deep Semantic Correlation Learning Based Hashing for Multimedia Cross-Modal Retrieval. ICDM 2018: 117-126 - Jie Gui, Ping Li:
Multi-view Feature Selection for Heterogeneous Face Recognition. ICDM 2018: 983-988 - Tian Guo, Albert Bifet, Nino Antulov-Fantulin:
Bitcoin Volatility Forecasting with a Glimpse into Buy and Sell Orders. ICDM 2018: 989-994 - Jia Guo, Guannan Liu, Yuan Zuo, Junjie Wu:
Learning Sequential Behavior Representations for Fraud Detection. ICDM 2018: 127-136 - Wenbo Guo, Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Sui Huang, Xue Liu, C. Lee Giles, Lin Lin, Xinyu Xing:
Defending Against Adversarial Samples Without Security through Obscurity. ICDM 2018: 137-146 - Huimei Han, Xingquan Zhu, Ying Li:
EDLT: Enabling Deep Learning for Generic Data Classification. ICDM 2018: 147-156 - Haripriya Harikumar, Santu Rana, Sunil Gupta, Thin Nguyen, Ramachandra Kaimal, Svetha Venkatesh:
Differentially Private Prescriptive Analytics. ICDM 2018: 995-1000 - Yun He, Haochen Chen, Ziwei Zhu, James Caverlee:
Pseudo-Implicit Feedback for Alleviating Data Sparsity in Top-K Recommendation. ICDM 2018: 1025-1030 - Shuo He, Lei Feng, Li Li:
Estimating Latent Relative Labeling Importances for Multi-label Learning. ICDM 2018: 1013-1018 - Lifang He, Chun-Ta Lu, Yong Chen, Jiawei Zhang, Linlin Shen, Philip S. Yu, Fei Wang:
A Self-Organizing Tensor Architecture for Multi-view Clustering. ICDM 2018: 1007-1012 - Jia He, Rui Liu, Fuzhen Zhuang, Fen Lin, Cheng Niu, Qing He:
A General Cross-Domain Recommendation Framework via Bayesian Neural Network. ICDM 2018: 1001-1006 - Yuanduo He, Jialiang Pei, Xu Chu, Yasha Wang, Zhu Jin, Guangju Peng:
Characteristic Subspace Learning for Time Series Classification. ICDM 2018: 1019-1024 - Babak Hosseini, Barbara Hammer:
Confident Kernel Sparse Coding and Dictionary Learning. ICDM 2018: 1031-1036 - Yu-Heng Hsieh, Chun-Chieh Chen, Hong-Han Shuai, Ming-Syan Chen:
Highly Parallel Sequential Pattern Mining on a Heterogeneous Platform. ICDM 2018: 1037-1042 - He Huang, Bokai Cao, Philip S. Yu, Chang-Dong Wang, Alex D. Leow:
dpMood: Exploiting Local and Periodic Typing Dynamics for Personalized Mood Prediction. ICDM 2018: 157-166 - Ling Huang, Chang-Dong Wang, Hong-Yang Chao:
A Harmonic Motif Modularity Approach for Multi-layer Network Community Detection. ICDM 2018: 1043-1048 - Zhouyuan Huo, Xue Jiang, Heng Huang:
Asynchronous Dual Free Stochastic Dual Coordinate Ascent for Distributed Data Mining. ICDM 2018: 167-176 - Xuan Huo, Yang Yang, Ming Li, De-Chuan Zhan:
Learning Semantic Features for Software Defect Prediction by Code Comments Embedding. ICDM 2018: 1049-1054 - Mohammad Raihanul Islam, Sathappan Muthiah, Bijaya Adhikari, B. Aditya Prakash, Naren Ramakrishnan:
DeepDiffuse: Predicting the 'Who' and 'When' in Cascades. ICDM 2018: 1055-1060 - Kishlay Jha, Yaqing Wang, Guangxu Xun, Aidong Zhang:
Interpretable Word Embeddings for Medical Domain. ICDM 2018: 1061-1066 - Fei Jiang, Lei Zheng, Jin Xu, Philip S. Yu:
FI-GRL: Fast Inductive Graph Representation Learning via Projection-Cost Preservation. ICDM 2018: 1067-1072 - Shengmin Jin, Reza Zafarani:
Representing Networks with 3D Shapes. ICDM 2018: 177-186 - Baoyu Jing, Chenwei Lu, Deqing Wang, Fuzhen Zhuang, Cheng Niu:
Cross-Domain Labeled LDA for Cross-Domain Text Classification. ICDM 2018: 187-196 - Shafiq R. Joty, Giuseppe Carenini, Raymond T. Ng, Gabriel Murray:
Discourse Processing and Its Applications in Text Mining. ICDM 2018: 7 - Ahmedul Kabir, Carolina Ruiz, Sergio A. Alvarez:
Mixed Bagging: A Novel Ensemble Learning Framework for Supervised Classification Based on Instance Hardness. ICDM 2018: 1073-1078