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Recent Posts
 Brief report about the IEA AIE 2020 conference
 The Upcoming 3rd Utility Mining and Learning Workshop (UDML 2020!) at IEEE ICDM 2020
 The Imposter Syndrome in Academia
 Big problem!
 Unethical Reviewers in Academia!
 How to Improve Work Efficiency for Researchers?
 Call for chapters on periodic pattern mining
 Call for chapters on Tracking and Preventing Diseases with AI
 How to convert Latex to HTML?
 Academic misconduct by Sandeep Kautish from LBEF / APU
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Tag Archives: data science
The PAKDD 2020 conference (a brief report)
In this report, I will talk about the 24th PacificAsia Conference on Knowledge Discovery and Data Mining (PAKDD 2020), from the 11th to 14th May 2020. The PAKDD conference PAKDD is a top international conference on data mining / big data in the PacificAsia part of the world. … Continue reading
Posted in Conference, Data Mining, Data science
Tagged conference, data mining, data science, pakdd
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(Video) Sequence prediction with the CPT and CPT+ Models
Today, I presents the CPT and CPT+ sequence prediction models in a video. Sequence prediction is an important task in data mining which consists of predicting the next symbols of a sequence. It can be used for example to predict the next word that someone will … Continue reading
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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(video) Mining Frequent Itemsets with the Apriori algorithm
This is a video presentation of the Apriori algorithm for discovering frequent itemsets in data. Frequent itemset mining is one of the most popular data mining task. VIDEO LINK: http://www.philippefournierviger.com/spmf/videos/apriori.mp4 The Java source code of the Apriori algorithm and datasets for evaluating its performance are available in the SPMF software. If you want … Continue reading
Posted in Data Mining, Data science, Pattern Mining, Video
Tagged algorithm, apriori, big data, data mining, data science, frequent pattern mining, frequent patterns, video
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Interview with Prof. Rage Uday Kiran about Data Mining
Today, I have the pleasure to interview Rage Uday Kiran researcher at the National Institute of Informatics in Tokyo, Japan. R. Uday Kiran is an Indian researcher who has been working in Japan for several years. He has been active mainly in the field of data mining, and … Continue reading
Posted in Data Mining, Data science, Interview, Pattern Mining
Tagged data mining, data science, pattern mining, periodic pattern
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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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Analyzing the source code of SPMF (5 years later)
Five years ago, I had analyzed the source code of the SPMF data mining software using an opensource tool called CodeAnalyzer ( http://sourceforge.net/projects/codeanalyzegpl/ ). This had provided some interesting insights about the structure of the project, especially in terms of lines of codes and code to … Continue reading
Posted in Data Mining, Data science, opensource
Tagged data analysis, data mining, data science, open source, software, spmf
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(video) Mining Sequential Rules with RuleGrowth
This is a video presentation of the paper “Mining PartiallyOrdered Sequential Rules Common to Multiple Sequences” about discovering sequential rules in sequences using the RuleGrowth algorithm. VIDEO LINK: http://www.philippefournierviger.com/spmf/videos/rulegrowth.mp4 More information about the RuleGrowth algorithm are provided in this research paper: FournierViger, P., Wu, C.W., Tseng, V.S., Cao, L., Nkambou, R. (2015). Mining PartiallyOrdered Sequential Rules Common to Multiple … Continue reading
Posted in Big data, Data Mining, Pattern Mining
Tagged data mining, data science, pattern mining, sequence, sequential rule
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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: http://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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