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Uppsala University
Data Mining I
Data mining studies effective methods to find interesting patterns in large data sets. Applications can be found in biotechnology, telecom, commerce, and the internet. This course introduces the terminology, an overview of the various kinds of data and their properties, and classification and clustering methods. Fur…
- Higher education
- Information unavailable
- 31 August 2026
- Uppsala
- Information unavailable
- 33 %
Overview
Data mining studies effective methods to find interesting patterns in large data sets. Applications can be found in biotechnology, telecom, commerce, and the internet. This course introduces the terminology, an overview of the various kinds of data and their properties, and classification and clustering methods. Furthermore, it treats data on the web, search engines and personal integrity. Techniques from databases, statistics, machine learning and information retrieval are combined.
Admission scores
Entry requirements
120 credits with 25 credits in mathematics, including mathematical statistics, 45 credits in computer science and/or engineering, including Database Design I and a second course in computer programming. Algorithms and Data Structures I is recommended. Proficiency in English equivalent to the Swedish upper secondary course English 6.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2026-08-31
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.uu.1dl360.11031.20262
- Last checked
- 2026-09-23T10:39:41.205927+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
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- Programme or course starts
- Programme or course ends
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About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.uu.1dl360.11031.20262
- Offering identity in the source
- e.uoh.uu.1dl360.11031.20262
- Education-form source code
- HS
- Education code in the source
- 1DL360
- Change time according to the source
- 2026-03-09T12:14:21
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.