Prof. Philippe Fournier-Viger, Shenzhen University, China

Philippe Fournier-Viger教授，深圳大学，中国

Research Area: Data Mining, Pattern Mining, Graphs, Sequences, Prediction, Big Data, Artificial Intelligence

研究方向：数据挖掘，模式挖掘，图，序列，预测，大数据，人工智能

Title:  Advances for The Automatic Discovery of Interesting Patterns in Data

Abstract:

Data play a crucial role in educational institutions, businesses and many other organizations. More and more data are collected and stored, but analyzing it to gain insights into educational and business processes remains a key challenge as data can be complex, heterogeneous and changing over time. It is desirable to be able to extract information or models from data that are easily understandable by humans. Based on these objectives, this talk will discuss the use of data mining algorithms for discovering interesting and useful patterns in data generated from intelligent systems and other applications.

The talk will first briefly review early study on designing algorithms for identifying frequent patterns in data. Then, an overview of recent challenges and advances will be presented to identify other types of interesting patterns in more complex data. Topics that will be discussed include high utility patterns, locally interesting patterns, and periodic patterns, and some applications. Lastly, the SPMF open-source software will be mentioned and opportunities related to the combination of pattern mining algorithms with traditional artificial intelligence techniques for intelligent systems will be discussed. 

Prof. Angela Lee Siew Hoong, Sunway University, Malaysia

Angela Lee Siew Hoong教授，双威大学，马来西亚

Research Area: Sentiment analysis and opinion mining, Predictive analytics, Technology adoption, Organisational knowledge management                  

研究方向：情感分析与意见挖掘，预测分析，技术采用，组织知识管理

Title:  Power of AI-Methods and Algorithms for Decision Making

Abstract:

Artificial Intelligence will assist retailers in making better revenue forecasts in the future by providing better customer service, and retargeting customers who have left. Customers can have a simpler, more streamlined, more secure, personalized, and quicker shopping experience than ever before thanks to AI. With these newly developed technologies, they can offer a variety of advantages, including automated processes, targeted potential buyers, increased revenue, and etc. Artificial Intelligence can improve the customer experience by providing desired personalization and can also assist in product recommendations. Customer focus searches can be generated using AI and machine learning. For online shoppers, search results can be restricted, contextualized, and eventually enhanced. Ecommerce businesses will now generate more leads thanks to AI technology intelligence. They can use AI-based ads, sales, and CRM solutions to benefit from predictive marketing. Finally, AI and machine learning will significantly improve e-commerce sales andcustomer loyalty.

A. Prof. Alexei Sourin, Nanyang Technological University, Singapore

Alexei Sourin副教授，新加坡南洋理工大学，新加坡

Research Area: Shape modeling, multi-modal interaction, music visualization, and automated visual inspection in manufacturing

研究方向：制造中的形状建模、多模态交互、音乐可视化和自动化视觉检查

Title: Visual Immersive Mathematics

Abstract:

Information visualization creates images from abstract data by interpreting them geometrically. It may require skills of making images with raw mathematics while the graphics content is now mostly created by using sophisticated licensed software. Existing methods for teaching geometry and computer graphics are usually restricted to a limited class of geometric objects, most of which are predefined in the system. As a result, fewer and fewer developers are capable of using procedurally-based visualisation in which mathematical formulas are used for defining complex geometric shapes, transformations and motions as well as for colouring the geometry. The talk discusses how to educate learners to see geometry and colours beyond simple mathematical formulas and how to represent geometric shapes and motions from first principles by digital sampling mathematical functions. The talk is based on the speaker’s recent book “Making Images with Mathematics” published by Springer Nature and his nearly 30 years of experience of teaching computer graphics, visualisation and virtual reality courses for computer science and engineering students. The talk is illustrated by the speakers multi-platform software tool Shape Explorer which is available for free downloading.