IEEE transactions on knowledge and data engineering

Keyphrases

Publications

volume 35, number 10, 2023

Matteo Paganelli, Paolo Sottovia, Kwanghyun Park, Matteo Interlandi, Francesco Guerra
Pushing ML Predictions Into DBMSs. IEEE transactions on knowledge and data engineering 35 (10) (2023)
Jiaying Lu, Xiangjue Dong, Carl Yang
Weakly Supervised Concept Map Generation through Task-Guided Graph Translation. IEEE transactions on knowledge and data engineering 35 (10) (2023)
Jiaying Lu, Xiangjue Dong, Carl Yang
Weakly Supervised Concept Map Generation through Task-Guided Graph Translation. IEEE transactions on knowledge and data engineering 35 (10) (2023)
Jiaying Lu, Xiangjue Dong, Carl Yang
Weakly Supervised Concept Map Generation through Task-Guided Graph Translation. IEEE transactions on knowledge and data engineering 35 (10) (2023)

volume 35, number 4, 2022

Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
M 2 : Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation. IEEE transactions on knowledge and data engineering 35 (4) (2022)
Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
M 2 : Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation. IEEE transactions on knowledge and data engineering 35 (4) (2022)
Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
M 2 : Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation. IEEE transactions on knowledge and data engineering 35 (4) (2022)
Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
M 2 : Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation. IEEE transactions on knowledge and data engineering 35 (4) (2022)
Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
M 2 : Mixed Models With Preferences, Popularities and Transitions for Next-Basket Recommendation. IEEE transactions on knowledge and data engineering 35 (4) (2022)

volume 35, number 1, 2021

Shangyu Xie, Meisam Mohammady, Han Wang, Lingyu Wang, Jaideep Vaidya, Yuan Hong
A Generalized Framework for Preserving Both Privacy and Utility in Data Outsourcing. IEEE transactions on knowledge and data engineering 35 (1) (2021)
Shangyu Xie, Meisam Mohammady, Han Wang, Lingyu Wang, Jaideep Vaidya, Yuan Hong
A Generalized Framework for Preserving Both Privacy and Utility in Data Outsourcing. IEEE transactions on knowledge and data engineering 35 (1) (2021)
Shangyu Xie, Meisam Mohammady, Han Wang, Lingyu Wang, Jaideep Vaidya, Yuan Hong
A Generalized Framework for Preserving Both Privacy and Utility in Data Outsourcing. IEEE transactions on knowledge and data engineering 35 (1) (2021)
Shangyu Xie, Meisam Mohammady, Han Wang, Lingyu Wang, Jaideep Vaidya, Yuan Hong
A Generalized Framework for Preserving Both Privacy and Utility in Data Outsourcing. IEEE transactions on knowledge and data engineering 35 (1) (2021)

volume 35, number 12, 2021

Hafiz Asif, Jaideep Vaidya, Periklis A Papakonstantinou
Identifying Anomalies while Preserving Privacy. IEEE transactions on knowledge and data engineering 35 (12) (2021)

volume 35, number 2, 2021

Yuanxun Zhang, Prasad Calyam, Trupti Joshi, Satish Nair, Dong Xu
Domain-specific Topic Model for Knowledge Discovery in Computational and Data-Intensive Scientific Communities. IEEE transactions on knowledge and data engineering 35 (2) (2021)
Yuanxun Zhang, Prasad Calyam, Trupti Joshi, Satish Nair, Dong Xu
Domain-specific Topic Model for Knowledge Discovery in Computational and Data-Intensive Scientific Communities. IEEE transactions on knowledge and data engineering 35 (2) (2021)
Yuanxun Zhang, Prasad Calyam, Trupti Joshi, Satish Nair, Dong Xu
Domain-specific Topic Model for Knowledge Discovery in Computational and Data-Intensive Scientific Communities. IEEE transactions on knowledge and data engineering 35 (2) (2021)

volume 34, number 10, 2021

Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
HAM: Hybrid Associations Models for Sequential Recommendation. IEEE transactions on knowledge and data engineering 34 (10) (2021)
Bo Peng, Zhiyun Ren, Srinivasan Parthasarathy, Xia Ning
HAM: Hybrid Associations Models for Sequential Recommendation. IEEE transactions on knowledge and data engineering 34 (10) (2021)

volume 34, number 11, 2021

Tianfan Fu, Cao Xiao, Lucas M Glass, Jimeng Sun
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization. IEEE transactions on knowledge and data engineering 34 (11) (2021)
Tianfan Fu, Cao Xiao, Lucas M Glass, Jimeng Sun
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization. IEEE transactions on knowledge and data engineering 34 (11) (2021)
Tianfan Fu, Cao Xiao, Lucas M Glass, Jimeng Sun
MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization. IEEE transactions on knowledge and data engineering 34 (11) (2021)

volume 34, number 1, 2020

Yun William Yu, Griffin M Weber
HyperMinHash: MinHash in LogLog space. IEEE transactions on knowledge and data engineering 34 (1) (2020)
Yun William Yu, Griffin M Weber
HyperMinHash: MinHash in LogLog space. IEEE transactions on knowledge and data engineering 34 (1) (2020)

volume 34, number 10, 2020

Carl Yang, Yuxin Xiao, Yu Zhang, Yizhou Sun, Jiawei Han
Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark. IEEE transactions on knowledge and data engineering 34 (10) (2020)

volume 34, number 2, 2020

Wenrui Dai, Xiaoqian Jiang, Luca Bonomi, Yong Li, Hongkai Xiong, Lucila Ohno-Machado
VERTICOX: Vertically Distributed Cox Proportional Hazards Model Using the Alternating Direction Method of Multipliers. IEEE transactions on knowledge and data engineering 34 (2) (2020)
Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun
CHEER: Rich Model Helps Poor Model via Knowledge Infusion. IEEE transactions on knowledge and data engineering 34 (2) (2020)
Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun
CHEER: Rich Model Helps Poor Model via Knowledge Infusion. IEEE transactions on knowledge and data engineering 34 (2) (2020)
Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun
CHEER: Rich Model Helps Poor Model via Knowledge Infusion. IEEE transactions on knowledge and data engineering 34 (2) (2020)
Cao Xiao, Trong Nghia Hoang, Shenda Hong, Tengfei Ma, Jimeng Sun
CHEER: Rich Model Helps Poor Model via Knowledge Infusion. IEEE transactions on knowledge and data engineering 34 (2) (2020)

volume 31, number 5, 2018

Samaneh Aminikhanghahi, Tinghui Wang, Diane J Cook
Real-Time Change Point Detection with application to Smart Home Time Series Data. IEEE transactions on knowledge and data engineering 31 (5) (2018)

volume 31, number 7, 2018

Jinfei Liu, Juncheng Yang, Li Xiong, Jian Pei
Secure and Efficient Skyline Queries on Encrypted Data. IEEE transactions on knowledge and data engineering 31 (7) (2018)
Yang Cao, Masatoshi Yoshikawa, Yonghui Xiao, Li Xiong
Quantifying Differential Privacy in Continuous Data Release Under Temporal Correlations. IEEE transactions on knowledge and data engineering 31 (7) (2018)

volume 30, number 10, 2018

Jingbo Shang, Jialu Liu, Meng Jiang, Xiang Ren, Clare R Voss, Jiawei Han
Automated Phrase Mining from Massive Text Corpora. IEEE transactions on knowledge and data engineering 30 (10) (2018)

volume 30, number 8, 2018

Chencheng Li, Pan Zhou, Li Xiong, Qian Wang, Ting Wang
Differentially Private Distributed Online Learning. IEEE transactions on knowledge and data engineering 30 (8) (2018)
Xiang Cheng, Sen Su, Shengzhi Xu, Li Xiong, Ke Xiao, Mingxing Zhao
A Two-Phase Algorithm for Differentially Private Frequent Subgraph Mining. IEEE transactions on knowledge and data engineering 30 (8) (2018)

volume 30, number 3, 2017

Meng Wang, Zhanglong Ji, Hyeon-Eui Kim, Shuang Wang, Li Xiong, Xiaoqian Jiang
Selecting Optimal Subset to release under Differentially Private M-estimators from Hybrid Datasets. IEEE transactions on knowledge and data engineering 30 (3) (2017)
Jingchao Ni, Wei Cheng, Wei Fan, Xiang Zhang
ComClus: A Self-Grouping Framework for Multi-Network Clustering. IEEE transactions on knowledge and data engineering 30 (3) (2017)

volume 30, number 7, 2017

Jingbo Shang, Meng Jiang, Wenzhu Tong, Jinfeng Xiao, Jian Peng, Jiawei Han, null null
DPPred: An Effective Prediction Framework with Concise Discriminative Patterns. IEEE transactions on knowledge and data engineering 30 (7) (2017)

volume 29, number 10, 2017

Chen Chen, Jingrui He, Nadya Bliss, Hanghang Tong
Towards Optimal Connectivity on Multi-layered Networks. IEEE transactions on knowledge and data engineering 29 (10) (2017)

volume 29, number 12, 2017

Bryan Minor, Janardhan Rao Doppa, Diane J Cook
Learning Activity Predictors from Sensor Data: Algorithms, Evaluation, and Applications. IEEE transactions on knowledge and data engineering 29 (12) (2017)

volume 29, number 3, 2016

Liangyue Li, Hanghang Tong, Nan Cao, Kate Ehrlich, Yu-Ru Lin, Norbou Buchler
Enhancing Team Composition in Professional Networks: Problem Definitions and Fast Solutions. IEEE transactions on knowledge and data engineering 29 (3) (2016)
Bo Li, Yevgeniy Vorobeychik, Muqun Li, Bradley Malin
Scalable Iterative Classification for Sanitizing Large-Scale Datasets. IEEE transactions on knowledge and data engineering 29 (3) (2016)

volume 28, number 11, 2016

Shengzhi Xu, Sen Su, Xiang Cheng, Ke Xiao, Li Xiong
Differentially Private Frequent Sequence Mining. IEEE transactions on knowledge and data engineering 28 (11) (2016)

volume 28, number 5, 2016

Yubao Wu, Ruoming Jin, Xiang Zhang
Efficient and Exact Local Search for Random Walk Based Top-K Proximity Query in Large Graphs. IEEE transactions on knowledge and data engineering 28 (5) (2016)

volume 27, number 1, 2014

Barnan Das, Narayanan C Krishnan, Diane J Cook
RACOG and wRACOG: Two Probabilistic Oversampling Techniques. IEEE transactions on knowledge and data engineering 27 (1) (2014)