DSAT: Data Sciences, Analytics & Technologies

DSAT 2019 Program

DSAT 1: Data Sciences, Analytics & Technologies
Tuesday July 16, 8:00 – 9:30
Location: Ballroom C
Session Chair: Kathy Grise, IEEE Future Directions, USA

How the Academics Qualification Influence the Students Learning Development
Edna Canedo, Rhandy de Carvalho, Heloise Acco Tives Leão, Ruyther da Costa and Pedro Henrique Costa

Alchemy: Stochastic Feature Regeneration for Malicious Network Traffic Classification
Bo Hu, Atsutoshi Kumagai, Kazunori Kamiya, Kenji Takahashi, Daniel Dalek, Ola Soderstrom, Kazuya Okada, Yuji Sekiya and Akihiro Nakao

Purchasing Behavior Analysis Based on Customer’s Data Portrait Model
Jing Sun, Huiqun Zhao, Mushan Wen and Zimu Li

On Recommender Systems Based on Autoencoder and Differential Privacy
Jiahui Ren, Xian Xu, Zhihuan Yao and Huiqun Yu

DSAT 2: Data Sciences, Analytics & Technologies
Wednesday July 17, 8:00 – 9:30
Location: AMU 157
Session Chair: Kathy Grise, IEEE Future Directions, USA

Matrix Factorization Model with Dual Preferences for Rating Prediction
Yuan Li and Kedian Mu

View-Adaptive Weighted Deep Transfer Learning for Distributed Time-Series Classification
Sreyasee Das Bhattacharjee, William J. Tolone, Ashish Mahabal, Mohammed Elshambakey, Isaac Cho and Stanislav G. Djorgovski

Multi-Source Heterogeneous Core Data Acquisition Method in Edge Computing Nodes
Hong Xia, Mingdao Zhao, Yanping Chen, Xiaodong Jin, Zhongmin Wang, Zhong Yu and Jingwei Yang

DSAT 3: Data Sciences, Analytics & Technologies
Wednesday July 17, 1:00 – 2:30
Location: AMU 157
Session Chair: William Chu, Tunghai University, Taiwan

Chinese Social Media Entity Linking Based on Effective Context with Topic Semantics
Chengfang Ma, Ying Sha, Jianlong Tan, Li Guo, and Huailiang Peng

Identification of Cybersecurity Specific Content Using the Doc2Vec Language Model
Otgonpurev Mendsaikhan, Hirokazu Hasegawa, Yukiko Yamaguchi and Hajime Shimada

Semantic Data-Driven Microservices
Ivan L. Salvadori, Alexis Huf and Frank Siqueira

Big Data Analytics in Telecommunication Using state-of-the-art Big Data Framework in a Distributed Computing Environment: A Case Study
Mohit Ved and Rizwanahmed B

DSAT 4: Data Sciences, Analytics & Technologies
Thursday July 18, 8:00 – 9:30
Location: AMU 163
Session Chair: Ali Hurson, Missouri University of Science & Technology, USA

Keyword-Based Semi-Supervised Text Classification
Karl Severin, Swapna Gokhale and Aldo Dagnino

TypoWriter: A Tool to Prevent Typosquatting
Ishtiyaque Ahmad, Md Anwar Parvez and Anindya Iqbal

Vehicle Travel Time Estimation by Sparse Trajectories
Mingyang Jiang and Tianqi Zhao

DSAT 5: Data Sciences, Analytics & Technologies
Thursday July 18, 1:00 – 2:30
Location: AMU 163
Session Chair: Sahra Sedigh, Missouri University of Science & Technology, USA

Xu: An Automated Query Expansion and Optimization Tool
Morgan Gallant, Haruna Isah, Farhana Zulkernine and Shahzad Khan

Parallel Discovery of Trajectory Companions from Heterogeneous Streaming Data
Yongyi Xian, Chuanfei Xu, Sameh Elnikety, and Yan Liu

Call for Papers

The Data Sciences, Analytics, and Technologies (DSAT) Symposium is an integral part of the overall IEEE COMPSAC conference. DSAT uniquely positions itself as a forum for both researchers and practitioners in Big Data as it relates to data sciences, data analytics, and associated technologies.  DSAT invites authors to present recent findings, innovations, theories, experiences, and ideas. Technical contributions accepted by DSAT will likely cover theory, applications, pragmatics, systems and services enabled by the Web, underlying technologies, data science, e-science, and concomitant big data analytics. The goal of DSAT is to deepen the understanding of, fostering innovation in, and sharing of practical applications around Big Data.

Topic areas to include, but not limited to: Applied data science, Anomaly detection, computational intelligence for Big Data analytics, Business analytics, Business informatics, Data information and knowledge, Data mining, Data warehousing, Exploring and visualizing data, Interactive visualization, Modeling and simulation, Privacy, and Security. Consider potential focus with the interconnected relationships of Big Data, Cloud, Fog, Edge Computing, IoT, mobile computing, and pervasive computing.

Some authors will be invited to submit expanded papers for the IEEE Transactions on Big Data journal COMPSAC special issue.