2020 Proceeding- General Chairs:
- Minh-Son Dao,
- Morten Fjeld,
- Program Chairs:
- Mianxiang Dong,
- Filip Biljecki,
- Uraz Yavanoglu
It is our great pleasure to welcome you to the 2020 ICMR workshop on Intelligence Cross-data Analytics and Retrieval - ICDAR 2020.
The First International Workshop on "Intelligence Cross-Data Analytics and Retrieval" (ICDAR'20) welcomes any theoretical and practical works on intelligence cross-data analytics and retrieval to bring the smart-sustainable society to human beings. We have witnessed the era of big data where almost any event that happens is recorded and stored either distributedly or centrally. The utmost requirement here is that data came from different sources, and various domains must be harmonically analyzed to get their insights immediately towards giving the ability to be retrieved thoroughly. These emerging requirements lead to the need for interdisciplinary and multidisciplinary contributions that address different aspects of the problem, such as data collection, storage, protection, processing, and transmission, as well as knowledge discovery, retrieval, and security and privacy. Hence, the goal of the workshop is to attract researchers and experts in the areas of multimedia information retrieval, machine learning, AI, data science, event-based processing and analysis, multimodal multimedia content analysis, lifelog data analysis, urban computing, environmental science, atmospheric science, and security and privacy to tackle the issues as mentioned earlier.
Proceeding Downloads
From Data Collection Merit to Data Connection Merit for Smart Sustainable Cities
Smart data refers to the IoT data that has been processed to produce valuable data be turned into actionable information, which can be used for intelligence, planning, controlling and decision making efficiently and effectively by governments, ...
Microwave Doppler Radar Sensing System for Vital Sign Detection: From Evaluated Accuracy Models to the Intelligent System
The development of microwave radar vital sign sensing system brings many benefits to mankind. This system can be used to detect the location of living people buried under debris. Other important applications of microwave radar sensor are smart home, ...
Malware Detection Using System Logs
- Nhu T. Nguyen,
- Thuy T. Pham,
- Tien X. Dang,
- Minh-Son Dao,
- Duc-Tien Dang-Nguyen,
- Cathal Gurrin,
- Binh T. Nguyen
Malware detection is one of the most critical features in many real applications, especially for the mobile platform and the Internet of Things (IoT) technology. Due to the proliferation of mobile devices and the associated app-stores, the volume of new ...
Residence and Workplace Recovery: User Privacy Risk in Mobility Data
Mobility data has been collected through mobile devices and cellular networks used in academic research and commercial purposes for the last decade. Since releasing individual's mobility records or trajectories gives rise to privacy issues, datasets ...
MNR-HCM Data: A Personal Lifelog and Surrounding Environment Dataset in Ho-Chi-Minh City, Viet Nam
In this paper, we introduce a new dataset that contains personal lifelog and surrounding environment data, collected periodically along predefined routes in Ho-Chi-Minh city, Vietnam. We also introduce self-developed devices as well as system ...
A Digital Insight Provider From Financial Documents In Banking
Calculating credibility and ensuring financial sustainability of companies are major challenges for financial centers. Customer relationship managers in a bank are responsible for maintaining and expanding their portfolios. Trial balance is a semi-...
Duplicate Identification Algorithms in SaaS Platforms
Existing duplicate records is one of the most common issues in many Software-as-as-Service (SaaS) platforms. In this paper, we study the duplicate identification problem in one specific SaaS platform related to quality and compliance management by using ...
Index Terms
- Proceedings of the 2020 ACM Workshop on Intelligent Cross-Data Analysis and Retrieval