About
Data driven technologies have significantly progressed after mid 90’s. The first phases were mainly focused on storing and efficiently accessing the data, resulted in the development of industry tools for managing large databases, related standards, supporting querying languages, etc. After the initial period, when the data storage was not a primary problem anymore, the development progressed towards analytical functionalities on how to extract added value from the data; i.e., databases started supporting not only transactions but also analytical processing of the data. At this point, data warehousing with On-Line-Analytical-Processing entered as a usual part of a company’s information system portfolio, requiring from the user to set well defined questions about the aggregated views to the data. Data Mining is a technology developed after year 2000, offering automatic data analysis trying to obtain new discoveries from the existing data and enabling a user new insights in the data. In this respect, the Slovenian KDD conference (SiKDD) covers a broad area including Statistical Data Analysis, Data, Text and Multimedia Mining, Semantic Technologies, Link Detection and Link Analysis, Social Network Analysis, Data Warehouses.
To find out more please visit SiKDD 2019 website.
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Uploaded videos:
A Dataset for Information Spreading over the News
Jan 20, 2021
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50 Views
Knowledge graph aware text classification
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EveOut: Reproducible Event Dataset for Studying and Analyzing the Complex Event-...
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Ontology alignment using Named-Entity Recognition methods in the domain of food
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Extracting structured metadata from multilingual textual descriptions in the dom...
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Learning to fill the slots from multiple perspectives
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Hierarchical classification of educational resources
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Are You Following the Right News-Outlet? A Machine Learning based approach to ou...
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MultiCOMET – Multilingual Commonsense Description
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The Slovenian Retweet Network 2018-2020
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36 Views
Toward improved semantic annotation of food and nutrition data
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34 Views
Absenteeism prediction from timesheet data: A case study
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28 Views
Monitoring COVID-19 through text mining and visualization
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Usage of Incremental Learning in Land-Cover Classification
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26 Views
Predicting bitcoin trend change using tweets
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Large-Scale Cargo Distribution
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Amazon forest fire detection with an active learning approach
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