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ORCID19th Industrial Conference on Data Mining 2019: New York, NY, USA
- Petra Perner:
Advances in Data Mining - Applications and Theoretical Aspects, 19th Industrial Conference, ICDM 2019, New York, USA, July 17 - July 21, 2019. ibai Publishing 2019, ISBN 978-3-942952-60-6 - Meenakshi Choudhary, Venkanna U., Vivek Tiwari:
Ensemble of Customized DenseNet with SVM for Refining Iris Contact Lens Features. ICDM 2019: 1-12 - Umama Dewan, Chowdhury Farhan Ahmed, Carson K. Leung, Redwan Ahmed Rizvee, Deyu Deng, Joglas Souza:
An efficient approach for mining weighted frequent patterns with dynamic weights. ICDM 2019: 13-27 - Shahbaz Rezaei, Xin Liu:
How to Achieve High Classification Accuracy with Just a Few Labels: A Semisupervised Approach Using Sampled Packets. ICDM 2019: 28-42 - Junlin Zhang, Tongwen Huang, Zhiqi Zhang:
FAT-DeepFFM: Field Attentive Deep Field-aware Factorization Machine. ICDM 2019: 43-57 - Dinh-Lam Pham, Hyun Ahn, Minjae Park, Kyoungsook Kim, Kwanghoon Pio Kim:
A Proportional Process Mining System. ICDM 2019: 58 - Kazem Qazanfari, Abdou Youssef:
Improving document classification performance by combining resources and integrating word embedding techniques. ICDM 2019: 75-87 - Han Wu, Guanjun Liu:
A Hybrid Model on Learning Cross Features for Transaction Fraud Detection. ICDM 2019: 88-102 - Athanasios Naskos, Anastasios Gounaris:
Efficiency assessment of event-based predictive maintenance in Industry 4.0. ICDM 2019: 103-117 - Redwan Ahmed Rizvee, Md Shahadat Hossain Shahin, Chowdhury Farhan Ahmed, Carson K. Leung, Deyu Deng, Jiaxing Jason Mai:
Sliding window based weighted periodic pattern mining over time series data. ICDM 2019: 118-132 - Alexey L. Myachin:
A Symmetry of the Data Pattern Structure. ICDM 2019: 133-145 - Isam A. Alobaidi, Jennifer L. Leopold, Ali A. Allami:
The Use of Frequent Subgraph Mining to Develop a Recommender System for Playing Real-Time Strategy Games. ICDM 2019: 146-160 - Sina Däubener, Sebastian Schmitt, Hao Wang, Peter Krause, Thomas Bäck:
Anomaly Detection in Univariate Time Series: An Empirical Comparison of Machine Learning Algorithms. ICDM 2019: 161-175 - Jennifer L. Leopold, Isam A. Alobaidi, Nathan W. Eloe:
Predictive Analysis of Real-Time Strategy Games Using Discriminative Subgraph Mining. ICDM 2019: 176-190 - Tamir Mazaev, Olivier Janssens, Dirk Van Gheel, Lieve Lanoye, Sofie Van Hoecke:
Interpretable detection of unstable smart TV usage from power state logs. ICDM 2019: 191-200 - Nahian Ashraf, Riddho Ridwanul Haque, Md. Ashraful Islam, Chowdhury Farhan Ahmed, Carson K. Leung, Jiaxing Jason Mai, Bryan H. Wodi:
WeFreS: weighted frequent subgraph mining in a single large graph. ICDM 2019: 201-215 - Jacopo Tagliabue, Lucas Lacasa, Ciro Greco, Mattia Pavoni, Andrea Polonioli:
Predicting e-commerce customer conversion from minimal temporal patterns on symbolized clickstream trajectories. ICDM 2019: 216-220 - Petra Perner:
Functions and Architecture for Automatic Predictive Targeting and Modelling Realtime On-line Behavior. ICDM 2019: 221-228 - Atif Hassan, Rohini Banerjee, Pabitra Mitra, Pralay Mitra:
Cluster-Based Relative Outlier Under-Sampling Technique. ICDM 2019: 229-241 - Bernard Chen, David Jones, Mustafa Tunc, Kristen Chipolla, Jorge Beltrán:
Weather Impacts on Wine, A BiMax examination of Napa Cabernet in 2011 and 2012 Vintage. ICDM 2019: 242-250 - Yingcheng Sun, Kenneth A. Loparo:
Context Aware Image Annotation in Multiple-Instance Active Learning. ICDM 2019: 251-262 - Hari Koesmarno:
Risk and Error Matrix Charts. ICDM 2019: 263-277 - Amr ElRafey, Janusz Wojtusiak:
Rapidly Determining the Starting Sample Size in Progressive Sampling: Mean Convergence is Sufficient. ICDM 2019: 278-289 - Bharat B. Gulyani, Arshia Fathima:
Series of Optimized Predictive Models for Forecast of Global Wastewater Treatment Plant Performance. ICDM 2019: 290-302 - Harsha Gwalani, Martin O Neill II, Armin R. Mikler, Talukder Alam, Rajarshi Banerjee:
Compositional Analysis for Metallic Systems: Sampling Methods. ICDM 2019: 303-316 - Eftim Zdravevski, Cas Apanowicz, Krzysztof Stencel, Dominik Slezak:
Scalable Cloud-based ETL for Self-serving Analytics. ICDM 2019: 317-331 - William Wu:
An Exploration into the Contexts of Errors and Value Patterns in Data Classification. ICDM 2019: 332-345
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