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ORCID20. PAKDD 2016: Auckland, New Zealand
- Huiping Cao, Jinyan Li, Ruili Wang:
Trends and Applications in Knowledge Discovery and Data Mining - PAKDD 2016 Workshops, BDM, MLSDA, PACC, WDMBF Auckland, New Zealand, April 19, 2016, Revised Selected Papers. Lecture Notes in Computer Science 9794, Springer 2016, ISBN 978-3-319-42995-3
Biologically Inspired Data Mining Techniques (BDM)
- Michael Mayo, Sara Omranian:
Towards a New Evolutionary Subsampling Technique for Heuristic Optimisation of Load Disaggregators. 3-14 - Truyen Tran, Dinh Q. Phung
, Svetha Venkatesh:
Neural Choice by Elimination via Highway Networks. 15-25 - Sreenivas Sremath Tirumala, A. Narayanan:
Attribute Selection and Classification of Prostate Cancer Gene Expression Data Using Artificial Neural Networks. 26-34 - Rami Mustafa A. Mohammad, Fadi A. Thabtah, Lee McCluskey:
An Improved Self-Structuring Neural Network. 35-47 - Yu-Lin He, Rana Aamir Raza Ashfaq, Joshua Zhexue Huang, Xizhao Wang:
Imbalanced ELM Based on Normal Density Estimation for Binary-Class Classification. 48-60 - Mir Md Jahangir Kabir, Shuxiang Xu, Byeong Ho Kang, Zongyuan Zhao:
Multiple Seeds Based Evolutionary Algorithm for Mining Boolean Association Rules. 61-72
Machine Learning for Sensory Data Analysis (MLSDA)
- Chuankai An, Dan Rockmore:
Predicting Phone Usage Behaviors with Sensory Data Using a Hierarchical Generative Model. 75-87 - Johanna Carvajal, Arnold Wiliem, Chris McCool, Brian C. Lovell, Conrad Sanderson:
Comparative Evaluation of Action Recognition Methods via Riemannian Manifolds, Fisher Vectors and GMMs: Ideal and Challenging Conditions. 88-100 - Linbo Qiao, Bofeng Zhang, Yipin Sun, Jinshu Su:
Rigidly Self-Expressive Sparse Subspace Clustering. 101-114 - Johanna Carvajal, Chris McCool, Brian C. Lovell, Conrad Sanderson:
Joint Recognition and Segmentation of Actions via Probabilistic Integration of Spatio-Temporal Fisher Vectors. 115-127 - Nguyen Thanh Binh, Vu Nguyen, Svetha Venkatesh, Dinh Q. Phung:
Learning Multi-faceted Activities from Heterogeneous Data with the Product Space Hierarchical Dirichlet Processes. 128-140 - Se Yeong Jeong, Yun Sing Koh, Gillian Dobbie:
Phishing Detection on Twitter Streams. 141-153 - Xianbin Gu, Martin K. Purvis:
Image Segmentation with Superpixel Based Covariance Descriptor. 154-165
Predictive Analytics for Critical Care (PACC)
- Xueyuan Gong, Simon Fong, Yain-Whar Si, Robert P. Biuk-Aghai, Raymond K. Wong, Athanasios V. Vasilakos:
Normalized Cross-Match: Pattern Discovery Algorithm from Biofeedback Signals. 169-180 - Lina Fu, Faming Li, Jing Zhou, Xuejin Wen, Jinhui Yao, Michael Shepherd:
Event Prediction in Healthcare Analytics: Beyond Prediction Accuracy. 181-189 - Vaibhav Rajan, Sakyajit Bhattacharya, Ranjan Shetty, Amith Sitaram, G. Vivek:
Clinical Decision Support for Stroke Using Multi-view Learning Based Models for NIHSS Scores. 190-199
Data Mining in Business and Finance (WDMBF)
- Rui Cheng, Boyang Tang:
A Music Recommendation System Based on Acoustic Features and User Personalities. 203-213 - Xianchao Zhang, Haijun Bai, Wenxin Liang:
A Social Spam Detection Framework via Semi-supervised Learning. 214-226 - Mojgan Ghanavati, Raymond K. Wong, Fang Chen, Yang Wang, Joe Lee:
A Hierarchical Beta Process Approach for Financial Time Series Trend Prediction. 227-237 - Shibai Yin, Yibin Wang, Tao Wang:
Efficient Iris Image Segmentation for ATM Based Approach Through Fuzzy Entropy and Graph Cut. 238-247 - Andrea Horch, Holger Kett, Anette Weisbecker:
Matching Product Offers of E-Shops. 248-259 - Xiaodong Li, Jiafen Liu:
Keystroke Biometric Recognition on Chinese Long Text Input. 260-271 - Xubin Luo, Jiang Duan:
Recommendation Algorithm Design in a Land Exchange Platform. 272-279
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