Report about the 2018 International Workshop on Mining of Massive Data and IoT

This week, I have attended the 2018 International Workshop on Mining of Massive Data and IoT  (2018 年大数据与物联网挖掘国际研讨会) organized by the Fujian Normal University in the city of  Fuzhou, China from the 18th to 20thDecember 2018.

workshop on mining massing massive data

I have attended the workshop to give a talk and also to meet other researchers, and listen to their talks. There was several invited expertsfrom Canada, as well as from China. Below, I provide a brief report about the workshop. The workshop was held at the Ramada Hotel in Fuzhou.

Talks

There was 11 long talks. Given by the invited experts. The opening ceremony was chaired by Prof. Shengrui Wang and featured the dean Prof. Gongde Guo.

Prof. Jian-Yun Nie from University of Montreal (Canada) talked about information retrieval from big data. Information retrieval is about how to search for documents using queries (e.g. when we use a search engine). In traditional information retrieval, documents and queries are represented as vectors and relevance of documents is estimated by a similarity function. Prof. Nie talked about using deep learning to learn representation of content and matching for information retrieval.

Prof. Sylvain Giroux from University of Sherbrooke (Canada) gave a talk about transforming homes into smart homes that provide cognitive assistance to cognitively impaired people.  He presented several projects, including a system called COOK that is designed to help people to cook using a modified oven equipped with sensors and communication abilities. He also shown another project using the Hololens to build a 3D mapping of all objects in a house and tag them with semantics (an ontology).

Prof. Guangxia Xu from Chongqing University of Posts and Telecommunications gave a talk about data security and privacy in intelligent environments.

 Prof. Philippe Fournier-Viger (me), then gave a talk about high-utility pattern mining.  It consists of discovering important patterns in symbolic data (for example, to identify the sets  of items purchased by customers that yield a lot of money). I also presented the SPMF software that I founded, which offers more than 150 data mining algorithms.

Then, there was a talk by Dr. Shu Wu about using deep learning in context recommender systems. That talk was followed by a very interesting talk by Prof. Djemel Ziou of University of Sherbrooke (Canada) about his various projects related to image processing, object recognition, and virtual reality. In particular, Prof. Ziou talked about a project to evaluate the color of light pollution from pictures.

Then, another interesting talk was by Dr. Yue Jiang from Fujian Normal University. She presented two measures called K2 and K2* to calculate sequence similarity in the context of bioinformatics. The designed approach is alignment-free and can be computed very efficiently.

On the second day, there was more talks. A talk by Prof. Hui Wang from Fujian Normal University was about detecting fraud in the food industry. This is a complex topic, which requires to use complex techniques such as a mass spectrometer. It was explained that some products such as olive oil are often not authentic with up to 20% of olive oil looking suspicious. Traditionally, food tests were performed in a lab, but nowadays handheld devices have been developed using infrared light to quickly perform food tests anywhere.

Then, there was a talk by Prof. Hui-Huang Tsu about elderly home care and sensor data analytics. He highlighted privacy issues related to the use of sensors in smart homes. 

There was a talk by Prof. Wing W.Y. Ng about image retrieval and a talk by Prof. Shengrui Wang about regime switch analysis in time series.

Conclusion

This was an interesting event. I had the opportunity to talk with several other researchers with common interests. The event was well-organized.


Philippe Fournier-Viger is a full professor working in China and founder of the SPMF open source data mining software.

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