Data Retrieval and Data Mining

Dear Colleagues,

While data retrieval focuses on finding existing data within a dataset as quickly as possible, data mining refers to a process of searching hidden information from a large number of data through algorithms. Both of them have undergone rapid development with the advances in information science, computer science, statistics, and mathematics. They are playing crucial roles in handling and understanding large datasets, and have already greatly impacted the research and development of modern science and technology in different ways, as well as people’s daily life.

The Special Issue “Data Retrieval and Data Mining” is planned to collect some most recent research work in these two fields, including information retrieval (by which we will quickly find relevant documents, records, graphs, or images), web scraping (by which we will extract data from websites, or data streams), data harvesting (by which we will gather specific data from various sources, either homogenous or heterogenous), as well as data selecting (by which we will choose and sieve relevant data), data cleaning (by which we will preprocess and clean data for certain purposes), data transformation (by which we will change data into a suitable format for further treatment) and data mining (by which we will evaluate patterns and derive values).

Prof. Dr. Yangjun Chen
Prof. Dr. Carson Leung
Guest Editors

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• data retrieval
• data mining
• Web
• databases
• data indexing
• association rules
• statistical analysis