Archives
Categories
- Academia (60)
- artificial intelligence (24)
- Big data (64)
- cfp (7)
- Conference (47)
- Data Mining (113)
- Data science (55)
- General (37)
- Industry (1)
- Interview (1)
- Machine Learning (7)
- Mathematics (2)
- open-source (10)
- Pattern Mining (26)
- Plagiarism (6)
- Programming (16)
- Research (96)
- Time series (2)
- Uncategorized (15)
- Utility Mining (12)
- Video (11)
- Website (1)
-
Recent Posts
- Approximate Algorithms for High Utility Itemset Mining
- UDML 2021 @ ICDM 2021
- MLiSE 2021 @ PKDD 2021 – a new workshop!
- Mining Episode Rules (video)
- A Brief Report about ACIIDS 2021 (13th Asian Conference on Intelligent Information and Database Systems)
- Phrasebank, an interesting tool to improve your academic writing.
- Papers without code (and the problem of non-reproducible research)
- An Overview of Pattern Mining Techniques
- How to write a research grant proposal?
- Some funny or interesting websites related to research
Recent Comments
- Philippe Fournier-Viger on Six important skills to become a succesful researcher
- Approximate Algorithms for High Utility Itemset Mining | The Data Mining Blog on An Introduction to High-Utility Itemset Mining
- Krishna Hasanthi Wellappili on Six important skills to become a succesful researcher
- Mining Episode Rules (video) | The Data Mining Blog on A Brief Report about ACIIDS 2021 (13th Asian Conference on Intelligent Information and Database Systems)
- A Brief Report about ACIIDS 2021 (13th Asian Conference on Intelligent Information and Database Systems) | The Data Mining Blog on Real Conferences VS Virtual Conferences
Tag cloud
- academia
- ai
- algorithm
- algorithms
- article
- articles
- artificial intelligence
- big data
- book
- china
- conference
- data
- data mining
- data science
- dataset
- frequent pattern mining
- high-utility mining
- high utility itemset mining
- icdm
- ieaaie
- itemset mining
- java
- journal
- machine learning
- open-source
- pakdd
- paper
- papers
- pattern mining
- periodic pattern
- phd
- plagiarism
- programming
- Research
- researcher
- review
- reviewer
- sequence
- software
- spmf
- university
- utility mining
- video
- workshop
- writing
Number of visitors:
1,965,259
Category Archives: artificial intelligence
MLiSE 2021 @ PKDD 2021 – a new workshop!
I am glad to announce that I am co-organizing a new workshop called MLiSE 2021 (1st international workshop on Machine Learning in Software Engineering), held in conjunction with the ECML PKDD 2021 conference. Briefly, the aim of this workshop is … Continue reading
Posted in artificial intelligence, Big data, cfp, Conference, Machine Learning
Tagged artificial intelligence, cfp, data, data mining, machine learning, mlise, pkdd, pkdd 2021, software engineering, workshop
Leave a comment
A Brief Report about ACIIDS 2021 (13th Asian Conference on Intelligent Information and Database Systems)
In this blog post, I will give a brief report about the ACIIDS 2021 conference, that I am attending from April 7–10, 2021. What is ACIIDS? ACIIDS is an international conference focusing on intelligent information and database systems. The conference … Continue reading
Analyzing the COVID-19 genome with AI and data mining techniques (paper + data + code)
Recently, my team has been working on analyzing COVID-19 genome sequences using pattern mining and other AI techniques. We have recently published a paper in the Applied Intelligence journal about this. In this blog post, I will give some brief … Continue reading
Analyzing COVID-19 tweets to understand the public opinion
In this blog post, I will talk briefly about how tweets collected on Twitter can be analyzed to understand the public opinion about COVID-19. This is based on the below research paper, that I have recently participated to: Noor, S., … Continue reading
Posted in artificial intelligence, Data Mining, Data science
Tagged coronavirus, covid, covid19, tweet, twitter
Leave a comment
The importance of explainable data science and machine learning models
In this blog post, I will talk about an important concept, which is often overlooked in data mining and machine learning: explainability. To discuss this topic, it is necessary to first remember what is the goal of data mining and machine learning. The goal of data mining is … Continue reading
How to find a good thesis topic in Machine Learning?
In this blog post, I will talk about how to find a good thesis topic on machine learning. This is an important question for many students that are required to select a topic for their research and want to work … Continue reading
Posted in Academia, artificial intelligence, Machine Learning
Tagged artificial intelligence, machine learning, master, mtech, phd, Research, thesis, thesis topic, university
Leave a comment
Brief Report about the PKDD 2020 conference
In this blog post, I will talk about the ECML PKDD 2020 conference, that was held from the 14th to 18th September 2020. This post will be a little bit brief because I did not attend the whole conference but … Continue reading
Posted in artificial intelligence, Big data, Conference, Data Mining
Tagged ai, artificial intelligence, conference, data mining, europe, machine learning, pkdd, pkdd2020
3 Comments
A brief report about the IEA AIE 2020 conference
In this blog post, I will write a brief report about the 33rd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA AIE 2020), held in Kitakyushu, Japan from the 22nd to 25th September 2020. What … Continue reading
Posted in artificial intelligence, Conference, Data Mining
Tagged 2020, ai, artificial intelligence, conference, data mining, ieaaie, japan, springer
Leave a comment
Call for chapters on Tracking and Preventing Diseases with AI
Hi again, I am happy to announce that I am also co-editing an upcoming book about “Tracking and Preventing Diseases with Artificial Intelligence“, to be published by Springer in 2021. This book is open to a wide varieties of topics related to health and artificial intelligence, including: Artificial … Continue reading
Posted in artificial intelligence
Tagged artificial intelligence, book, call for chapter, chapter, disease, machine learning
2 Comments
(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