Tag Archives: data mining

Introduction to frequent subranking mining

Rankings are made in many fields, as we naturally tend to rank objects, persons or things, in different contexts. For example, in a singing or a sport competition, some judges will rank participants from worst to best and give prizes to … Continue reading

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Report about the 13th ADMA conference (ADMA 2018)

I have recently attended the 13th International Conference on Advanced Data Mining and Applications (ADMA 2018) in Nanjing, China from the 16th to 18th October 2018. In this blog post, I will give a brief report about this conference. What is the ADMA conference? ADMA is a … Continue reading

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Expensive Academic Conferences – the case of ICDM

I was recently thinking of attending IEEE ICDM 2018 (International Conference on Data Mining) in Singapore, next month. It is a top 5 data mining conference. According to my schedule, I could attend it for 2 days, and since Singapore is close to China, it … Continue reading

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Skills needed for a data scientists? (comments on the HBR article)

Recently, I have read an article of the Harvard Business Review (HBR) website about data sciences skills for businesses. This article proposes to categorize skills related to data on a 2×2 matrix where skills are labelled as useful VS not useful, and … Continue reading

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Report about the DEXA 2018 and DAWAK 2018 conferences

This week, I am attending the DEXA 2018 (29th International Conference on Database and Expert Systems Applications) and the DAWAK 2018 (20th Intern. Conf. on Data Warehousing and Knowledge Discovery) conferences from the 3rd to 6th September in Regensburg, Germany. Those two conferences are well established European conferences dedicated mainly to research on database and data mining. These conferences are always collocated. … Continue reading

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Report about the KDD 2018 conference

This week, I am participating to the KDD 2018 ( 24th ACM SIGKDD Intern. Conference on Knowledge Discovery and Data Mining), in London, UK from the 19th to 23rd August 2018. The KDD conference is an international conference, established 24 years ago. It is the top conference in the field of data mining / … Continue reading

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The future of pattern mining

In this blog post, I will talk about the future of research on pattern mining. I will also discuss some lessons learnt from the decades of research in this field and talk about research opportunities. What is the state of research on pattern mining? Over the last … Continue reading

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An interview with P. Fournier-Viger about AI and data mining

I recently was interviewed by Djavan de Clercq, a graduate student from Tsinghua University, working on Machine Learning and Optimization. The interview can be read here (on LinkedIn).   I answer ten questions related to data mining and AI research. —-Philippe Fournier-Viger is a professor of Computer Science and also the founder of the open-source data mining software SPMF, offering … Continue reading

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A Model for Football Pass Prediction (source code + dataset)

In this blog post, I will discuss the data challenge of the Machine Learning for Sport Analytics workshop (MLSA 2018) at PKDD 2018. The challenge consisted of predicting the receivers of football passes (pass prediction). I will first briefly describe the data and then … Continue reading

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IEA AIE 2018 conference (a brief report)

This week, I am attending the IEA AIE 2018 conference ( 31st International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems) in Montreal, Canada. About the conference The IEA AIE conference is an international conference on artificial intelligence and related topics that has been established more than 30 years ago.  It is … Continue reading

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