The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Preparing a data set for analysis is generally the most time consuming task in a data mining project, requiring many complex SQL queries, ...
3,4,5,6. Building and maintaining of large-volume databases has become a crucial step to provide scientific data for mining and modeling. Widely used materials databases, such as the Inorganic
Though exponentially growing health-related literature has been made available to a broad audience online, the language of scientific articles can be difficult for the general public to understand. Therefore, adapting this expert-level language into plai
Corrigendum to “An open dataset of data lineage graphs for data governance research” [Vis. Inform. 8 (1) (2024) 1-5] Visual Informatics, Volume 8, Issue 2, June 2024, Pages 115 Yunpeng Chen, Ying Zhao, Xuanjing Li, Jiang Zhang, Jiang Long, Fangfang ZhouView PDFAbstract...
for datasets, which allows users to discover data stored in various online repositories via keyword queries. These developments foreshadow an emerging research field around dataset search or retrieval that broadly encompasses frameworks, methods and tools that help match a user data need against a ...
geological research and mapping. At the end of the 20th century, State Development Planning Commission and the Ministry of Geology and Mineral Resources jointly conducted project approval and established 1:500, 000 digital geological map spatial database of the People’s Republic of China by using ...
Mining and Utilizing Dataset Relevancy from Oceanographic Datasets to Improve Data Discovery and Access MUDROD is a semantic discovery and search project funded by NASA AIST (NNX15AM85G). Software requirements: Java 8 Git Apache Maven 3.X Elasticsearch v5.X Kibana v4 Apache Spark v2.0.0 Apache...
Further, the multidimensional LIs [16], [17], [14], [18], [19] can be used for trajectory data. A trajectory can be considered as a sequence of multidimensional points in an n-dimensional space. However, a similarity search with multidimensional LI can be challenging owing to their point...
Dataset-Converter Tool: https://github.com/greenhub-project/dataset-converter Pandas: https://pandas.pydata.org/ Project Jupyter: https://jupyter.org/ Apache Parquet: https://parquet.apache.org/ References Anderson MJ (2001) A new method for non-parametric multivariate analysis of variance. Aust...
Learning from noisy data is a challenging task for data mining research. In this paper, we argue that for noisy data both global bagging strategy and local bagging strategy su er from their own inherent disadvantages and thus cannot form accurate prediction models. Consequently, we present a ...