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ORCID16. Industrial Conference on Data Mining 2016: New York, NY, USA
- Petra Perner:
Advances in Data Mining. Applications and Theoretical Aspects - 16th Industrial Conference, ICDM 2016, New York, NY, USA, July 13-17, 2016. Proceedings. Lecture Notes in Computer Science 9728, Springer 2016, ISBN 978-3-319-41560-4 - J. Alamelu Mangai, Bharat B. Gulyani
:
Induction of Model Trees for Predicting BOD in River Water: A Data Mining Perspective. 1-13 - Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, Tzung-Pei Hong, Ja-Hwung Su:
Efficient Mining of High Average-Utility Itemsets with Multiple Minimum Thresholds. 14-28 - Athena Jalalian, Francis Eng Hock Tay, Gabriel Liu:
Data Mining in Medicine: Relationship of Scoliotic Spine Curvature to the Movement Sequence of Lateral Bending Positions. 29-40 - Thuc-Doan Do, Thuy-Van T. Duong, Nguyen Ngoc Phien:
A Data Mining-Based Approach for Exploiting the Characteristics of University Lecturers. 41-53 - Sankara Prasad Kondareddy, Shruti Agrawal, Shishir Shekhar:
Incremental Response Modeling Based on Segmentation Approach Using Uplift Decision Trees. 54-63 - Philippe Fournier-Viger, Jerry Chun-Wei Lin, Quang-Huy Duong, Thu-Lan Dam:
PHM: Mining Periodic High-Utility Itemsets. 64-79 - Kian Jazayeri, Moein Jazayeri, Sener Uysal:
Comparative Analysis of Levenberg-Marquardt and Bayesian Regularization Backpropagation Algorithms in Photovoltaic Power Estimation Using Artificial Neural Network. 80-95 - Tamer Özyigit, Cuneyt Yavuz, Massimo Pieri, Salih Murat Egi, Bahar Egi, Corentin Altepe, Danilo Cialoni, Alessandro Marroni:
Data Mining on Divers Alert Network DSL Database: Classification of Divers. 96-109 - Junjie Chen, Xiaofeng Wang, Wenjing Zhou, Lei Zhang, Fei Liu:
Multiple Health Phases Based Remaining Useful Lifetime Prediction on Bearings. 110-124 - David Kaczynski, Lisa Gandy, Gongzhu Hu:
Innovations in News Media: Crisis Classification System. 125-138 - Chun-Che Huang, Yu-Jie Fang, Shian-Hua Lin, Wen-Yau Liang, Shu-Rong Wu:
Development of Issue Sets from Social Big Data: A Case Study of Green Energy and Low-Carbon. 139-153 - Sulagna Gope, Sudeshna Sarkar, Pabitra Mitra, Subimal Ghosh:
Early Prediction of Extreme Rainfall Events: A Deep Learning Approach. 154-167 - Russel Aziz, Manav Kedia, Soham Dan, Sayantan Basu, Sudeshna Sarkar, Sudeshna Mitra, Pabitra Mitra:
Identifying and Characterizing Truck Stops from GPS Data. 168-182 - Bing Quan Huang, Ying Huang, Chongcheng Chen, M. Tahar Kechadi:
A Fuzzy Rule-Based Learning Algorithm for Customer Churn Prediction. 183-196 - Konstantin Borisenko, Andrey Smirnov, Evgenia Novikova, Andrey Shorov:
DDoS Attacks Detection in Cloud Computing Using Data Mining Techniques. 197-211 - Ding-Yao Huang, Chiou-Yi Hor, Chang-Biau Yang:
Coordinate Refinement on All Atoms of the Protein Backbone with Support Vector Regression. 212-222 - Bernard Chen, Christopher Rhodes, Alexander Yu, Valentin Velchev:
The Computational Wine Wheel 2.0 and the TriMax Triclustering in Wineinformatics. 223-238 - Bernard Chen, Hai Le, Christopher Rhodes, Dongsheng Che:
Understanding the Wine Judges and Evaluating the Consistency Through White-Box Classification Algorithms. 239-252 - Sudarshan Babu:
A Novel Sparsity Based Classification Framework to Exploit Clusters in Data. 253-265 - Kuan-Chieh Tung, En Tzu Wang, Arbee L. P. Chen:
Mining Event Sequences from Social Media for Election Prediction. 266-281 - Andrew V. Knyazev, Qun Gao, Koon Hoo Teo:
Multi-exponential Lifetime Extraction in Time-Logarithmic Scale. 282-296 - Pawel Foszner, Aleksandra Gruca, Jakub Bularz:
Fuel Pipeline Thermal Conductivity in Automatic Wet Stock Reconciliation Systems. 297-310 - Edwin Aldana-Bobadilla, Alejandro Molina-Villegas:
A Novel Multivariate Mapping Method for Analyzing High-Dimensional Numerical Datasets. 311-319 - Shyma Mogtaba, Eiman Kambal:
Association Rule Hiding for Privacy Preserving Data Mining. 320-333 - Geert Gins, Sam Wuyts, Sander Van den Zegel, Jan F. M. Van Impe:
Extending Process Monitoring to Simultaneous False Alarm Rejection and Fault Identification (FARFI). 334-348 - Ivan Kholod, Mikhail Kuprianov, Ilya Petukhov:
Parallel and Distributed Data Mining in Cloud. 349-362 - Stefano Ferilli:
The WoMan Formalism for Expressing Process Models. 363-378 - Sen Yang, Moliang Zhou, Rachel Webman, JaeWon Yang, Aleksandra Sarcevic, Ivan Marsic, Randall S. Burd:
Duration-Aware Alignment of Process Traces. 379-393 - Gülsen Bal, Askin Karakas, Tunga Güngör, Fatmagül Süzen, Kemal Can Kara:
A Matching Approach Based on Term Clusters for eRecruitment. 394-404 - Olga Gorskikh:
Splitting Algorithm for Detecting Structural Changes in Predictive Relationships. 405-419 - Karim M. Orabi, Yasser M. Kamal, Thanaa M. Rabah:
Early Predictive System for Diabetes Mellitus Disease. 420-427 - Markus Vattulainen:
Data Quality Visualization for Preprocessing. 428-437 - Kiran Rama, Shashank Shekhar, John Kiran, K. Raghava Rau, Sam Pritchett, Anit Bhandari, Parag Chitalia:
List Price Optimization Using Customized Decision Trees. 438-444
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