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ORCID20th IRI 2019: Los Angeles, CA, USA
- 20th IEEE International Conference on Information Reuse and Integration for Data Science, IRI 2019, Los Angeles, CA, USA, July 30 - August 1, 2019. IEEE 2019, ISBN 978-1-7281-1337-1
Session A1
A11: Machine Learning and Artificial Intelligence I
- Rafael Jose de Alencar Almeida, Vinicius Humberto Serapilha Durelli, Igor Campos Moraes, Matheus Carvalho Viana, Elverton Carvalho Fazzion, Dárlinton Barbosa Feres Carvalho
, Diego Roberto Colombo Dias, Leonardo Chaves Dutra da Rocha:
Combining Data Mining Techniques for Evolutionary Analysis of Programming Languages. 1-8 - Richard A. Bauder, Matthew Herland, Taghi M. Khoshgoftaar:
Evaluating Model Predictive Performance: A Medicare Fraud Detection Case Study. 9-14
A12: Predictive Data Analysis and Business Intelligence
- Christos Tsigkanos, Alessio Arleo, Johannes Sorger, Schahram Dustdar:
How Do Firms Transact? Guesstimation and Validation of Financial Transaction Networks with Satisfiability. 15-22 - Zi Qi, Zhan Bu, Xi Xiong, Hongliang Sun, Jie Cao, Chengcui Zhang:
A Stock Index Prediction Framework: Integrating Technical and Topological Mesoscale Indicators. 23-30 - Bruce Jackson, Manjeet Rege:
Machine Learning for Classification of Economic Recessions. 31-38
DAUB 2019 Workshop
- Jan Paul Vox, Frank Wallhoff:
A Framework for the Analysis of Biomechanical Loading Using Human Motion Tracking. 39-46 - Hassan Karim, Danda B. Rawat:
A Trusted Bluetooth Performance Evaluation Model for Brain Computer Interfaces. 47-52
Session A2
A21: Machine Learning and Artificial Intelligence II
- Tony Lindgren, Panagiotis Papapetrou, Isak Samsten, Lars Asker:
Example-Based Feature Tweaking Using Random Forests. 53-60 - Hajar Homayouni, Sudipto Ghosh, Indrakshi Ray:
ADQuaTe: An Automated Data Quality Test Approach for Constraint Discovery and Fault Detection. 61-68 - Yihuang Kang, I-Ling Cheng, Wenjui Mao, Bowen Kuo, Pei-Ju Lee:
Towards Interpretable Deep Extreme Multi-Label Learning. 69-74
A22: Computer Security and Forensics
- Lydia Bouzar-Benlabiod, Lila Méziani, Stuart H. Rubin, Kahina Belaidi, Nour El Houda Haddar:
Variational Encoder-Decoder Recurrent Neural Network (VED-RNN) for Anomaly Prediction in a Host Environment. 75-82 - Tawfiq Hasanin, Taghi M. Khoshgoftaar, Joffrey L. Leevy:
A Comparison of Performance Metrics with Severely Imbalanced Network Security Big Data. 83-88 - Maryam Aldairi, Leila Karimi, James Joshi:
A Trust Aware Unsupervised Learning Approach for Insider Threat Detection. 89-98
A23: Novel Data Mining and Machine Learning Applications I
- Cássio Chaves Reginato, Jordana Sarmenghi Salamon, Gabriel Nogueira, Monalessa Perini Barcellos, Vítor E. Silva Souza, Maxwell E. Monteiro:
GO-FOR: A Goal-Oriented Framework for Ontology Reuse. 99-106 - Salim Sazzed, Sampath Jayarathna:
A Sentiment Classification in Bengali and Machine Translated English Corpus. 107-114 - Sandeep Reddivari, Jayalakshmi Raman:
Software Quality Prediction: An Investigation Based on Machine Learning. 115-122 - Sandeep Reddivari:
Enhancing Software Requirements Cluster Labeling Using Wikipedia. 123-126
Session B1
B11: Visual Analytics I
- Haiman Tian, Shu-Ching Chen, Mei-Ling Shyu:
Genetic Algorithm Based Deep Learning Model Selection for Visual Data Classification. 127-134 - Gabriel Castaneda, Paul Morris, Taghi M. Khoshgoftaar:
Deep Learning with Maxout Activations for Visual Recognition and Verification. 135-142 - Muhammad Azam, Nizar Bouguila:
Texture Image Categorization in Wavelet Domain via Naive Bayes Classifier Based on Laplace and Generalized Gaussian Distribution. 143-150
B12: Biomedical Applications
- Yasith Jayawardana, Mark Jaime, Sampath Jayarathna:
Analysis of Temporal Relationships between ASD and Brain Activity through EEG and Machine Learning. 151-158 - Arunkumar Bagavathi, Angelina A. Tzacheva:
Scalable Action Mining for Recommendations to Reduce Hospital Readmission. 159-166 - Nooshin Mojab, Vahid Noroozi, Philip S. Yu, Joelle A. Hallak:
Deep Multi-Task Learning for Interpretable Glaucoma Detection. 167-174
B13: Big Data Computing
- Justin M. Johnson, Taghi M. Khoshgoftaar:
Deep Learning and Data Sampling with Imbalanced Big Data. 175-183 - Ronald Doku, Danda B. Rawat, Chunmei Liu:
Towards Federated Learning Approach to Determine Data Relevance in Big Data. 184-192 - Yuexuan Tu, Saad Sadiq, Yudong Tao, Mei-Ling Shyu, Shu-Ching Chen:
A Power Efficient Neural Network Implementation on Heterogeneous FPGA and GPU Devices. 193-199
Session B2
B21: Novel Data Mining and Machine Learning Applications II
- Tianyi Wang, Samira Pouyanfar, Haiman Tian, Yudong Tao, Miguel Alonso, Steven Luis, Shu-Ching Chen:
A Framework for Airfare Price Prediction: A Machine Learning Approach. 200-207 - Gavindya Jayawardena, Anne Michalek, Sampath Jayarathna:
Eye Tracking Area of Interest in the Context of Working Memory Capacity Tasks. 208-215 - Mohammed Kuko, Mohammad Pourhomayoun:
An Ensemble Machine Learning Method for Single and Clustered Cervical Cell Classification. 216-222 - Bathsheba Farrow, Sampath Jayarathna:
Technological Advancements in Post-Traumatic Stress Disorder Detection: A Survey. 223-228
B22: Databases and Data Warehouses
- Dippy Aggarwal, Shreyas Shekhar:
Towards a Visualization-Driven Approach to Database Benchmarking Analysis. 229-236 - Luiz Henrique Zambom Santana, Ronaldo dos Santos Mello:
A Middleware for Polyglot Persistence of RDF Data into NoSQL Databases. 237-244 - Shuvra Chakraborty, Ravi S. Sandhu, Ram Krishnan:
On the Feasibility of Attribute-Based Access Control Policy Mining. 245-252 - Chetna Suryavanshi, Curtis E. Dyreson, Jonathan Adams:
Renovating Database Queries with Query AutoAwesome. 253-260
B23: Visual Analytics II
- Dongzhen Wang, Daqing Huang:
3D Points Localization Using Defocused Images. 261-266 - Hieu Nguyen, Meeta Kalra, Muhammad Azam, Nizar Bouguila:
Data Clustering Using Online Variational Learning of Finite Scaled Dirichlet Mixture Models. 267-274 - Jonathon Moody, Dong Hyun Jeong, Soo-Yeon Ji:
Feature-Based Understanding of Human Emotions. 275-282 - Haiman Tian, Shu-Ching Chen, Mei-Ling Shyu, Stuart H. Rubin:
Automated Neural Network Construction with Similarity Sensitive Evolutionary Algorithms. 283-290
Session B3
Demo and Short Paper Poster Session
- Keith Wu, Manjeet Rege:
Hibiki: A Graph Visualization of Asian Music. 291-294 - Felix Zhan:
Hand Gesture Recognition with Convolution Neural Networks. 295-298
Session C1
C11: Social Networks and Media
- Huan Yang, Zhan Bu, Yuyao Wang, Xi Xiong, Chengcui Zhang:
A Non-Cooperative Game Model for Overlapping Community Detection in Social Networks. 299-306 - Jedsada Phengsuwan, Nipun Balan Thekkummal, Tejal Shah, Philip James, Dhavalkumar Thakker, Rui Sun, Divya Pullarkatt, Hemalatha Thirugnanam, Maneesha Vinodini Ramesh, Rajiv Ranjan:
Context-Based Knowledge Discovery and Querying for Social Media Data. 307-314
C12: Data Modeling and Knowledge Base
- Stuart H. Rubin, Lydia Bouzar-Benlabiod:
DDM: Data-Driven Modeling of Physical Phenomenon with Application to METOC. 315-325 - Sabin Kafle, Nisansa de Silva, Dejing Dou:
An Overview of Utilizing Knowledge Bases in Neural Networks for Question Answering. 326-333 - Andrei Stoica, Michael Valdron, Ken Q. Pu:
Scalable Analysis of Open Data Graphs. 334-341
C13: Health Applications
- Jihyeon Kim, Uran Oh:
EmoWei : Emotion-Oriented Personalized Weight Management System Based on Sentiment Analysis. 342-349 - Rüdiger Pryss, Dennis John, Manfred Reichert, Burkhard Hoppenstedt, Lukas Schmid, Winfried Schlee, Myra Spiliopoulou, Johannes Schobel, Robin Kraft, Marc Schickler, Berthold Langguth, Thomas Probst:
Machine Learning Findings on Geospatial Data of Users from the TrackYourStress mHealth Crowdsensing Platform. 350-355
Session C2
C21: Information Systems
- Brian Ricks, Bhavani Thuraisingham, Patrick Tague:
Mimicking Human Behavior in Shared-Resource Computer Networks. 356-363 - Juliana Fernandes, Francisco Henrique Ferreira, Felipe Cordeiro de Paula, Valdemar Vicente Graciano Neto, Rodrigo Pereira dos Santos:
A Conceptual Model for Systems-of-Information Systems. 364-371 - Anthony Tsetse, Samuel Tweneboah-Koduah, Bharat S. Rawal, Zhihao Zheng, Manoah Prattipati:
A Comparative Study of System Virtualization Performance. 372-378 - Kimberley Hemmings-Jarrett, Julian Jarrett, M. Brian Blake:
Evaluation of a Reusable Technique for Refining Social Media Query Criteria for Crowd-Sourced Sentiment for Decision Making. 379-388
DIM 2019 Workshop
- Fatma Najar, Nuha Zamzami, Nizar Bouguila:
Fake News Detection Using Bayesian Inference. 389-394 - Michael Nelson, Sridhar Radhakrishnan, Chandra N. Sekharan:
Billion-Scale Matrix Compression and Multiplication with Implications in Data Mining. 395-402
EM-RITE 2019 Workshop
- Min-Yuh Day, Chi-Sheng Hung:
AI Affective Conversational Robot with Hybrid Generative-Based and Retrieval-Based Dialogue Models. 403-409 - Kuo-Chung Chu, Min-Yang Xiao, Chuan-Hsun Chang, Cheng-Hsiang Hsiao, Yan-Chen Jiang, Po-Yao Tsai:
Preliminary Study of Relationship between Health Behavior and Breast Cancer. 410-413 - Chuan-Jie Lin, Chao-Hsiang Huang, Chia-Hao Wu:
Using BERT to Process Chinese Ellipsis and Coreference in Clinic Dialogues. 414-418
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