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Tag Archives: data mining
(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
What is the difference between data mining and machine learning?
In this short blog post, I will answer the question: what is the difference between Machine Learning and Data Mining? I will first explain what is artificial intelligence, machine learning and data mining. Then, I will answer the question. What is artificial intelligence … Continue reading
Posted in artificial intelligence, Big data, Data Mining, Data science
Tagged ai, artificial intelligence, data mining, machine learning
1 Comment
A brief report about the Big Data Analytics 2019 conference (BDA 2019)
This week, I have attended the 7th Big Data Analytics conference (BDA 2019), which was held in Ahmedabad, India from the 17th to 20th December 2019. This was a great event with good keynote speeches, invited talks, research papers, tutorials, a workshop on IT for agriculture, a panel … Continue reading
Brief report about the ADMA 2019 conference
This week, I am also attending the 14th International Conference on Advanced Data Mining and Applications (ADMA 2019) conference in Dalian, China, from the 21st to 23rd November at Dalian Neusoft University of Information. About ADMA The ADMA conference is focused on data mining and its applications, and is … Continue reading
Posted in Conference, Data Mining, Data science
Tagged adma, big data, china, conference, data mining
3 Comments
Brief report about the MIWAI 2019 conference
In this blog post, I will report about the MIWAI 2019 conference (13th Multi-disciplinary International conference on Artificial Intelligence), which was held from the 17th to 19th November 2019 at the EDC hotel in Kuala Lampur Malaysia. About the MIWAI conference This is the 13th edition of the MIWAI conference. The conference is called MIWAI since originally, it started as a … Continue reading
Posted in artificial intelligence, Conference, Data Mining
Tagged artificial intelligence, conference, data mining, miwai
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The SPMF data mining library v.2.40 is released!
Hi all, I am please to announce that a new version of SPMF has just been published (v 2.40). It contains 9 novel algorithms: It also includes some bug fixes and other minor improvements. I did not release a new version of SPMF since a few … Continue reading
Posted in Data Mining, open-source, Pattern Mining, spmf
Tagged data mining, library, open source, pattern mining, software, spmf
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Brief report about DAWAK 2019 / DEXA 2019
This week, I am attending the DAWAK 2019 and DEXA 2019 conferences in Linz, Austria from the 26th to the 29th August 2019. In this blog post, I will provide a report about these conferences. About the DAWAK and DEXA conferences DAWAK ( Intern. Conf. on Data Warehousing … Continue reading
Posted in Big data, Conference, Data Mining, Data science
Tagged conference, data mining, data warehouse, dawak, europe
1 Comment
Funny pictures about data mining / machine learning
Today, I will share a few funny pictures related to data mining and machine learning that I have found online. These pictures comes from various sources (I don’t remember who created them). I will also perhaps add more later on that page Associations between … Continue reading
A brief report about the IEA AIE 2019 conference
I have just arrived Austria to attend the IEA AIE 2019 conference ( 32nd Intern. Conf. on Industrial, Engineering and Other Applications of Applied Intelligent Systems), which is held in Graz from the 9th to 11th July. In this blog post, I will give a report about … Continue reading
Posted in artificial intelligence, Conference
Tagged artificial intelligence, conference, data mining, europe, ieaaie
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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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