Knowledge Discovery in Databases

By W. Moczulski, R. Szulim, P. Tomasik, D. Wachla. 2010

605 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Vasant Dhar
2. Alex Alves Freitas
3. Gonzalo Mariscal
4. Covadonga Fernández
5. Fernando E. B. Otero
6. Ó. Marbán

Citations in the corpus

• Big data for cyber physical systems in industry 4.0: a survey (2019, background): “…(Mosteller 1968), relative risk (Sistrom and Garvan 2004), likelihood ratio (Neyman and Pearson 1992), lift (Brin et al. 1997), leverage (Piateski and Frawley 1991), BCPNN (Bate et al. 1998), two-way support (Tew et al. 2014), added value (Kannan and Bhaskaran 2009), and putative causal…”
• Human-Computer Interaction and Knowledge Discovery (HCI-KDD): What Is the Benefit of Bringing Those Two Fields to Work Together? (2013, neutral): “…etc.), Link Analysis (e.g. Social Network Analysis), to advanced Methods including Evolutionary Algorithms, Reinforcement Learning Methods, Neural Networks, Granular Computing & Rough Sets, Swarm Intelligence, Fuzzy Logic, Graph Entropy, topological Methods etc. etc. [46], [51], [52], [53], [54].”
• A survey of data mining and knowledge discovery process models and methodologies (2010, methodology): “The complete process of extracting information is known as KDD process (Piatetsky-Shaphiro & Frawley, 1991; Fayyad et al ., 1996c).”
• Data science and prediction (2013, background): “Early books on data mining 6,7,17 from the 1990s described how various methods from machine learning could be applied to a variety of business problems.”
• Utilizing Social Media Data for Pharmacovigilance: A Review (2015, background): “Following the study by Nikfarjam and Gonzalez [34], a popular approach for the discovery of drug-ADR pairs, in lexicon-based and other techniques, has been the use of association rule mining [68]—a class of techniques by which associations between entities are discovered.”
• Improving the interpretability of classification rules discovered by an ant colony algorithm (2013, methodology): “Since the introduction of Ant-Miner [18], the first ant colony rule induction algorithm for the discovery of a list of classification rules, many extensions have been proposed in the literature [7, 12].”