Abstract is missing.
- Ensemble of Customized DenseNet with SVM for Refining Iris Contact Lens FeaturesMeenakshi Choudhary, Venkanna U., Vivek Tiwari. 1-12
- An efficient approach for mining weighted frequent patterns with dynamic weightsUmama Dewan, Chowdhury Farhan Ahmed, Carson K. Leung, Redwan Ahmed Rizvee, Deyu Deng, Joglas Souza. 13-27
- How to Achieve High Classification Accuracy with Just a Few Labels: A Semisupervised Approach Using Sampled PacketsShahbaz Rezaei, Xin Liu 0002. 28-42
- FAT-DeepFFM: Field Attentive Deep Field-aware Factorization MachineJunlin Zhang, Tongwen Huang, Zhiqi Zhang. 43-57
- A Proportional Process Mining SystemDinh-Lam Pham, Hyun Ahn, Minjae Park, Kyoungsook Kim, Kwanghoon Pio Kim. 58
- Improving document classification performance by combining resources and integrating word embedding techniquesKazem Qazanfari, Abdou Youssef. 75-87
- A Hybrid Model on Learning Cross Features for Transaction Fraud DetectionHan Wu, GuanJun Liu. 88-102
- Efficiency assessment of event-based predictive maintenance in Industry 4.0Athanasios Naskos, Anastasios Gounaris. 103-117
- Sliding window based weighted periodic pattern mining over time series dataRedwan Ahmed Rizvee, Md Shahadat Hossain Shahin, Chowdhury Farhan Ahmed, Carson K. Leung, Deyu Deng, Jiaxing Jason Mai. 118-132
- A Symmetry of the Data Pattern StructureAlexey L. Myachin. 133-145
- The Use of Frequent Subgraph Mining to Develop a Recommender System for Playing Real-Time Strategy GamesIsam Alobaidi, Jennifer Leopold, Ali Allami. 146-160
- Anomaly Detection in Univariate Time Series: An Empirical Comparison of Machine Learning AlgorithmsSina Däubener, Sebastian Schmitt, Hao Wang 0025, Peter Krause, Thomas Bäck. 161-175
- Predictive Analysis of Real-Time Strategy Games Using Discriminative Subgraph MiningJennifer Leopold, Isam Alobaidi, Nathan Eloe. 176-190
- Interpretable detection of unstable smart TV usage from power state logsTamir Mazaev, Olivier Janssens, Dirk Van Gheel, Lieve Lanoye, Sofie Van Hoecke. 191-200
- WeFreS: weighted frequent subgraph mining in a single large graphNahian Ashraf, Riddho Ridwanul Haque, Md. Ashraful Islam, Chowdhury Farhan Ahmed, Carson K. Leung, Jiaxing Jason Mai, Bryan H. Wodi. 201-215
- Predicting e-commerce customer conversion from minimal temporal patterns on symbolized clickstream trajectoriesJacopo Tagliabue, Lucas Lacasa, Ciro Greco, Mattia Pavoni, Andrea Polonioli. 216-220
- Functions and Architecture for Automatic Predictive Targeting and Modelling Realtime On-line BehaviorPetra Perner. 221-228
- Cluster-Based Relative Outlier Under-Sampling TechniqueAtif Hassan, Rohini Banerjee, Pabitra Mitra, Pralay Mitra. 229-241
- Weather Impacts on Wine, A BiMax examination of Napa Cabernet in 2011 and 2012 VintageBernard Chen, David Jones, Mustafa Tunc, Kristen Chipolla, Jorge Beltrán. 242-250
- Context Aware Image Annotation in Multiple-Instance Active LearningYingcheng Sun, Kenneth A. Loparo. 251-262
- Risk and Error Matrix ChartsHari Koesmarno. 263-277
- Rapidly Determining the Starting Sample Size in Progressive Sampling: Mean Convergence is SufficientAmr ElRafey, Janusz Wojtusiak. 278-289
- Series of Optimized Predictive Models for Forecast of Global Wastewater Treatment Plant PerformanceBharat B. Gulyani, Arshia Fathima. 290-302
- Compositional Analysis for Metallic Systems: Sampling MethodsHarsha Gwalani, Martin O Neill II, Armin R. Mikler, Talukder Alam, Rajarshi Banerjee. 303-316
- Scalable Cloud-based ETL for Self-serving AnalyticsEftim Zdravevski, Cas Apanowicz, Krzysztof Stencel, Dominik Slezak. 317-331
- An Exploration into the Contexts of Errors and Value Patterns in Data ClassificationWilliam Wu. 332-345