Results 61 to 70 of about 22,816,084 (277)

Proceedings of Symposium on Data Mining Applications 2014 [PDF]

arXiv, 2020
The Symposium on Data Mining and Applications (SDMA 2014) is aimed to gather researchers and application developers from a wide range of data mining related areas such as statistics, computational intelligence, pattern recognition, databases, Big Data Mining and visualization.
arxiv  

The benefits of data mining

eLife, 2017
Careful analysis of a database populated by physicians and patients sheds new light on the side effects of drugs.
Keith A. Houck, Audrey J. Bone
openaire   +4 more sources

Multi-source Data Mining for e-Learning [PDF]

7th International Symposium "From Data to Models and Back (DataMod)" 2018 Jun 25, 2020
Data mining is the task of discovering interesting, unexpected or valuable structures in large datasets and transforming them into an understandable structure for further use . Different approaches in the domain of data mining have been proposed, among which pattern mining is the most important one. Pattern mining mining involves extracting interesting
arxiv  

Product-Driven Data Mining [PDF]

, 2003
Manifold Data Mining has developed innovative demographic and household spending pattern databases for six-digit postal codes in Canada. Their collection of information consists of both demographic and expenditure variables which are expressed through ...
Bohun, C. Sean
core  

Multisource Data Fusion With Graph Convolutional Neural Networks for Node-Level Traffic Flow Prediction

Journal of Advanced Transportation
With the rapid development of transport technology and the increasing complexity of traffic patterns, integrating multiple data sources for traffic flow prediction has become crucial to overcome the defects of a single data source.
Lei Huang, Jianxin Qin, Tao Wu
doaj   +1 more source

Near Real-Time Flood Mapping with Weakly Supervised Machine Learning

Remote Sensing, 2023
Advances in deep learning and computer vision are making significant contributions to flood mapping, particularly when integrated with remotely sensed data.
Jirapa Vongkusolkit, Bo Peng, Meiliu Wu, Qunying Huang, Christian G. Andresen   +4 more
doaj   +1 more source

An Improved HMM-Based Approach for Planning Individual Routes Using Crowd Sourcing Spatiotemporal Data

Sensors, 2020
With the rapid development of LBSs (location-based services) in recent years, researchers have increasingly taken an interest in trying to make travel routes more practicable and individualized.
Tao Wu, Zhixuan Zeng, Jianxin Qin, Longgang Xiang, Yiliang Wan   +4 more
doaj   +1 more source

ChIP‐Atlas: a data‐mining suite powered by full integration of public ChIP‐seq data

EMBO Reports, 2018
We have fully integrated public chromatin chromatin immunoprecipitation sequencing (ChIP‐seq) and DNase‐seq data (n > 70,000) derived from six representative model organisms (human, mouse, rat, fruit fly, nematode, and budding yeast), and have devised a ...
Shinya Oki, Tazro Ohta, G. Shioi, H. Hatanaka, O. Ogasawara, Y. Okuda, H. Kawaji, Ryo Nakaki, J. Sese, C. Meno   +9 more
semanticscholar   +1 more source

TPP-SAM: A Trajectory Point Prompting Segment Anything Model for Zero-Shot Road Extraction From High-Resolution Remote Sensing Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The segment anything model (SAM) enables zero-shot or interactive segmentation of visual content and has shown remarkable performance with natural images.
Tao Wu, Yaling Hu, Jianxin Qin, Xinyi Lin, Yiliang Wan   +4 more
doaj   +1 more source

Detection and tracking of carbon biomes via integrated machine learning [PDF]

Ocean Science
In the framework of a changing climate, it is useful to devise methods capable of effectively assessing and monitoring the changing landscape of air–sea CO2 fluxes.
S. Mohanty, S. Mohanty, L. Patara, D. Kazempour, P. Kröger   +4 more
doaj   +1 more source