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22nd PAKDD 2018: Melbourne, VIC, Australia
- Dinh Q. Phung, Vincent S. Tseng, Geoffrey I. Webb, Bao Ho, Mohadeseh Ganji, Lida Rashidi:
Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part II. Lecture Notes in Computer Science 10938, Springer 2018, ISBN 978-3-319-93036-7
Graphical Models, Latent Variables and Statistical Methods
- Hengpeng Xu, Jinmao Wei, Zhenglu Yang
, Jianhua Ruan
Probabilistic Topic and Role Model for Information Diffusion in Social Network. 3-15 - Xin Huang, Chang-An Chen, Changhuan Peng, Xudong Wu, Luoyi Fu, Xinbing Wang:
Topic-Sensitive Influential Paper Discovery in Citation Network. 16-28 - Qian Hu, Huzefa Rangwala:
Course-Specific Markovian Models for Grade Prediction. 29-41 - Rob Churchill, Lisa Singh, Christo Kirov:
A Temporal Topic Model for Noisy Mediums. 42-53 - Shifeng Liu
A CRF-Based Stacking Model with Meta-features for Named Entity Recognition. 54-66 - Thomas Rebele, Katerina Tzompanaki, Fabian M. Suchanek:
Adding Missing Words to Regular Expressions. 67-79 - Gianni Costa
Marrying Community Discovery and Role Analysis in Social Media via Topic Modeling. 80-91 - Heng Wang, Zengchang Qin, Tao Wan:
Text Generation Based on Generative Adversarial Nets with Latent Variables. 92-103 - Sandya Mannarswamy, Saravanan Chidambaram:
GEMINIO: Finding Duplicates in a Question Haystack. 104-114 - Chen Zhao, Kohei Watanabe, Bin Yang, Yu Hirate:
Fast Converging Multi-armed Bandit Optimization Using Probabilistic Graphical Model. 115-127 - Yuan Jin, Lan Du
Leveraging Label Category Relationships in Multi-class Crowdsourcing. 128-140 - Mengya Wang, Erhu Rong, Hankui Zhuo, Huiling Zhu:
Embedding Knowledge Graphs Based on Transitivity and Asymmetry of Rules. 141-153
Representation Learning and Embedding
- Mohammad Raihanul Islam, B. Aditya Prakash, Naren Ramakrishnan
SIGNet: Scalable Embeddings for Signed Networks. 157-169 - Bijaya Adhikari, Yao Zhang, Naren Ramakrishnan
Sub2Vec: Feature Learning for Subgraphs. 170-182 - Linchuan Xu
Interaction Content Aware Network Embedding via Co-embedding of Nodes and Edges. 183-195 - Daokun Zhang, Jie Yin, Xingquan Zhu
MetaGraph2Vec: Complex Semantic Path Augmented Heterogeneous Network Embedding. 196-208 - Yang Yang, De-Chuan Zhan, Yi-Feng Wu, Yuan Jiang:
Multi-network User Identification via Graph-Aware Embedding. 209-221 - Zili Zhou, Shaowu Liu
Knowledge-Based Recommendation with Hierarchical Collaborative Embedding. 222-234 - Depeng Xu
DPNE: Differentially Private Network Embedding. 235-246 - Xiao Han, Chunhong Zhang, Chenchen Guo, Yang Ji:
A Generalization of Recurrent Neural Networks for Graph Embedding. 247-259 - Hongyan Xu, Hongtao Liu, Wenjun Wang, Yueheng Sun, Pengfei Jiao:
NE-FLGC: Network Embedding Based on Fusing Local (First-Order) and Global (Second-Order) Network Structure with Node Content. 260-271
Semi-structured Data and NLP
- Jiangtao Zhang, Juanzi Li, Shuai Wang, Yan Zhang, Yixin Cao, Lei Hou
Category Multi-representation: A Unified Solution for Named Entity Recognition in Clinical Texts. 275-287 - Xiaohuan Cao, Chuan Shi, Yuyan Zheng, Jiayu Ding, Xiaoli Li
A Heterogeneous Information Network Method for Entity Set Expansion in Knowledge Graph. 288-299 - Bilih Priyogi, Mark Sanderson
Identifying In-App User Actions from Mobile Web Logs. 300-311 - Abhilasha Sancheti, Paridhi Maheshwari, Rajat Chaturvedi, Anish V. Monsy, Tanya Goyal, Balaji Vasan Srinivasan:
Harvesting Knowledge from Cultural Heritage Artifacts in Museums of India. 312-324 - Khaled Albishre, Yuefeng Li, Yue Xu
Query-Based Automatic Training Set Selection for Microblog Retrieval. 325-336 - Saurav Manchanda, George Karypis:
Distributed Representation of Multi-sense Words: A Loss Driven Approach. 337-349 - Jingyu Shao, Qing Wang
Active Blocking Scheme Learning for Entity Resolution. 350-362 - Ismini Lourentzou, Alfredo Alba, Anni Coden, Anna Lisa Gentile, Daniel Gruhl, Steve Welch:
Mining Relations from Unstructured Content. 363-375 - Kang-Min Kim
Incorporating Word Embeddings into Open Directory Project Based Large-Scale Classification. 376-388 - Xiaolan Zhang, Yeting Li
Inference of a Concise Regular Expression Considering Interleaving from XML Documents. 389-401
Spatial-Temporal, Time-Series and Stream Mining
- Yuanyu Wan, Lijun Zhang:
Accelerating Adaptive Online Learning by Matrix Approximation. 405-417 - Xiaoting Jiang, Yanyan Shen, Yanmin Zhu:
Cruising or Waiting: A Shared Recommender System for Taxi Drivers. 418-430 - Xinxing Yang, Jun Zhou, Peilin Zhao, Cen Chen, Chaochao Chen
A Local Online Learning Approach for Non-linear Data. 431-443 - Elham Naghizade, Jeffrey Chan
Contextual Location Imputation for Confined WiFi Trajectories. 444-457 - Erik Scharwächter, Fabian Geier, Lukas Faber, Emmanuel Müller:
Low Redundancy Estimation of Correlation Matrices for Time Series Using Triangular Bounds. 458-470 - Mingxuan Yue, Liyue Fan, Cyrus Shahabi:
Traffic Accident Detection with Spatiotemporal Impact Measurement. 471-482 - Zahir Tari, A. Thompson, N. Almusalam, Peter Bertók
MicroGRID: An Accurate and Efficient Real-Time Stream Data Clustering with Noise. 483-494 - Naif Almusallam
UFSSF - An Efficient Unsupervised Feature Selection for Streaming Features. 495-507 - Milad Chenaghlou, Masud Moshtaghi, Christopher Leckie
Online Clustering for Evolving Data Streams with Online Anomaly Detection. 508-521 - Hang Yu
An Incremental Dual nu-Support Vector Regression Algorithm. 522-533 - Zafar Saeed
Text Stream to Temporal Network - A Dynamic Heartbeat Graph to Detect Emerging Events on Twitter. 534-545 - Zhaoxin Huan, Lin Shang:
Model the Dynamic Evolution of Facial Expression from Image Sequences. 546-557 - Pantelis Chronis, Giorgos Giannopoulos
Unsupervised Disaggregation of Low Granularity Resource Consumption Time Series. 558-570 - Xi Liu, Pang-Ning Tan
STARS: Soft Multi-Task Learning for Activity Recognition from Multi-Modal Sensor Data. 571-583 - Feng Zhou, Zhidong Li
A Refined MISD Algorithm Based on Gaussian Process Regression. 584-596
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