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
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53 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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Learning to fill the slots from multiple perspectives
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MultiCOMET – Multilingual Commonsense Description
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The Slovenian Retweet Network 2018-2020
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Toward improved semantic annotation of food and nutrition data
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Absenteeism prediction from timesheet data: A case study
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Monitoring COVID-19 through text mining and visualization
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Usage of Incremental Learning in Land-Cover Classification
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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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