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The new educational models such as smart learning environments use of digital and context-aware devices to facilitate the learning process. In this new educational scenario, a huge quantity of multimodal students' data from a variety of…

Computers and Society · Computer Science 2025-11-27 Wilson Chango , Juan A. Lara , Rebeca Cerezo , Cristóbal Romero

We introduce a pattern mining framework that operates on semi-structured datasets and exploits the dichotomy between outcomes. Our approach takes advantage of constraint reasoning to find sequential patterns that occur frequently and…

Artificial Intelligence · Computer Science 2022-01-25 Xin Wang , Serdar Kadioglu

Massive Open Online Courses (MOOCs) have gained tremendous popularity in the last few years. Thanks to MOOCs, millions of learners from all over the world have taken thousands of high-quality courses for free. Putting together an excellent…

Artificial Intelligence · Computer Science 2016-01-27 Simon Fauvel , Han Yu

The Research Data Alliance is an international organization which aims at building the technical and sociological bridges that enable the open sharing of scientific data. It is a remarkable forum to discuss all the aspects of scientific…

Instrumentation and Methods for Astrophysics · Physics 2017-01-04 Francoise Genova

In materials science and manufacturing, vast amounts of heterogeneous data (e.g., measurement and simulation logs, process data, publications) serve as the bedrock of valuable knowledge for various engineering applications. However,…

This article describes the use of metadata and standards in the Social Impact Data Commons to expose official statisticians to an innovative project built on actionable and evaluable metadata, which produces a FAIR data system. We begin by…

Computers and Society · Computer Science 2025-11-25 Joanna Schroeder , Alan Wang , Kathryn Linehan , Joel Thurston , Aaron Schroeder

Humans cannot always be treated as oracles for collaborative sensing. Robots thus need to maintain beliefs over unknown world states when receiving semantic data from humans, as well as account for possible discrepancies between…

Robotics · Computer Science 2023-04-14 Shohei Wakayama , Nisar Ahmed

Generative models such as Large Language Models, Diffusion Models, and generative adversarial networks have recently revolutionized the creation of synthetic data, offering scalable solutions to data scarcity, privacy, and annotation…

Machine Learning · Computer Science 2025-08-28 Dawei Li , Yue Huang , Ming Li , Tianyi Zhou , Xiangliang Zhang , Huan Liu

We increasingly live in a data-driven world, with diverse kinds of data distributed across many locations. In some cases, the datasets are collected from multiple locations, such as sensors (e.g., mobile phones and street cameras) spread…

Computers and Society · Computer Science 2020-06-19 Rachit Agarwal , Jen Rexford , with contributions from numerous workshop attendees

With the huge amount of information available online, the World Wide Web is a fertile area for data mining research. The Web mining research is at the cross road of research from several research communities, such as database, information…

Machine Learning · Computer Science 2007-05-23 Raymond Kosala , Hendrik Blockeel

A wide range of Sensor Networks (SNs) are deployed in real world applications which generate large amount of raw sensory data. Data mining technique to extract useful knowledge from these applications is an emerging research area due to its…

Databases · Computer Science 2013-06-19 Azhar Mahmood , Shi Ke , Shaheen Khatoon

Biologists study Diatoms, a fundamental algae, to assess the health of aquatic systems. Diatom specimens have traditionally been preserved on analog slides, where a single slide can contain thousands of these microscopic organisms.…

Information Retrieval · Computer Science 2024-11-04 Kio Polson , Marina Potapova , Uttam Meena , Chad Peiper , Joshua Brown , Joshua Agar , Jane Greenberg

MFPS conferences are dedicated to the areas of mathematics, logic, and computer science that are related to models of computation in general, and to semantics of programming languages in particular. This is a forum where researchers in…

Logic in Computer Science · Computer Science 2021-12-28 Ana Sokolova

Knowledge extraction from database is the fundamental task in database and data mining community, which has been applied to a wide range of real-world applications and situations. Different from the support-based mining models, the…

Due to the development of internet technology and computer science, data is exploding at an exponential rate. Big data brings us new opportunities and challenges. On the one hand, we can analyze and mine big data to discover hidden…

Databases · Computer Science 2020-05-12 Zhicheng Liu , Aoqian Zhang

Agricultural research has been profited by technical advances such as automation, data mining. Today, data mining is used in a vast areas and many off-the-shelf data mining system products and domain specific data mining application soft…

Artificial Intelligence · Computer Science 2012-06-08 Jay Gholap , Anurag Ingole , Jayesh Gohil , Shailesh Gargade , Vahida Attar

Social media and social networks have already woven themselves into the very fabric of everyday life. This results in a dramatic increase of social data capturing various relations between the users and their associated artifacts, both in…

Social and Information Networks · Computer Science 2023-06-22 Martin Atzmueller

The Fourteenth International Workshop on Non-Classical Models of Automata and Applications (NCMA 2024) was held in G\"ottingen, Germany, on August 12 and 13, 2024, at the historic Georg-Augustus-Universit\"at, organized by the Theoretical…

Formal Languages and Automata Theory · Computer Science 2024-09-11 Florin Manea , Giovanni Pighizzini

This volume contains the proceedings of DCM 2015, the 11th International Workshop on Developments in Computational Models held on October 28, 2015 in Cali, Colombia. DCM 2015 was organized as a one-day satellite event of the 12th…

Logic in Computer Science · Computer Science 2016-03-03 César A. Muñoz , Jorge A. Pérez
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