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Recent Posts
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 SPMF: upcoming feature: The Memory Viewer
 (video) The EFIM algorithm
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Tag Archives: data
Correlation does not imply causation
There is a well known principle in statistics that correlation does not imply causation. It means that even if we observe that two variables behave in the same way, we should not conclude that the behavior of one of those variables … Continue reading
Posted in Big data, Data Mining, Data science
Tagged causation, correlation, data, data analysis, data mining, data science
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The best data mining mailing lists (for researchers)
Today, I will list a few useful mailing lists related to data mining and big data. Subscribing to these mailing list is useful for PhD students and researchers, as many jobs, conferences, special issues and other opportunities are advertised on these mailing lists. It is … Continue reading
Posted in Big data, Data Mining, Data science
Tagged big data, data, data mining, data science, machine learning, mailing list, Research
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(video) Minimal Correlated High Utility Itemsets with FCHM
This is a video presentation of the paper “Mining Correlated HighUtility Itemsets Using the bond Measure” about correlated high utility pattern mining using FCHM. VIDEO LINK: https://www.philippefournierviger.com/spmf/videos/FCHM_correlated_itemsets.mp4 More information about the FCHM algorithm are provided in this research paper: FournierViger, P., Zhang, Y., Lin, J. C.W., … Continue reading
Posted in Big data, Data Mining, Data science, Video
Tagged big data, data, data science, high utility itemset, high utility mining, pattern mining
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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
Posted in Big data, Data Mining, Data science, Pattern Mining
Tagged data, data mining, data science, pattern, sequential pattern
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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
Posted in Big data, Data science
Tagged big data, data, data mining, data science, skills
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Periodic patterns in Web log time series
Recently, I have analysed trends about visitors on this blog. I have made two observations. First, there is about 500 to 1000 visitors per day. For this, I want to thank you all for reading and commenting on the blog. Second, if we … Continue reading
Posted in Big data, Data Mining, Data science, Time series
Tagged data, periodic pattern, periodicity, time series, web, web log
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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
Posted in Big data, Conference
Tagged big data, conference, data, data mining, data science, dawak, dexa
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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
Posted in Data Mining, Data science, Video
Tagged data, data mining, football, mlsa, prediction
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This is why you should visualize your data!
In the data science and data mining communities, several practitioners are applying various algorithms on data, without attempting to visualize the data. This is a big mistake because sometimes, visualizing the data greatly helps to understand the data. Some phenomena are obvious when visualizing the data. In this blog post, I will give a few … Continue reading
Posted in Big data, Data Mining, Data science
Tagged big data, data, data mining, data science, visualization
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