id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_u3dpwvocwvdsfhjouzguzxxfy4	Paulo Cortez	Third special issue on knowledge discovery and business intelligence	2017	5	.pdf	application/pdf	2009	141	52	In this special issue, we highlight two of data related terms: Knowledge Discovery The 'Knowledge Discovery and Business Intelligence' (KDBI) thematic track associated with special ES journal issues, which included extended versions of the adequately with label ranking, which is useful in several real-world applications (e.g. modeling user preferences). trading actions; and easy to interpret tools are needed to better disclose the relationships among price variations from distinct financial products. Label Ranking Forests (LRF) algorithm uses an ensemble of decision tree methods second approach uses classification models that directly forecast the trading decision representation based on vector quantization coupled with discrete wavelet transform', Muhammad Fuad (2016) proposes a novel KD algorithm for time series indexing and retrieval. analytics of educational time-dependent data using interactive dynamic visualization'. domain-specific language approach', proposes the use of patterns to represent common ETL tasks (e.g. surrogate key pipelining or intensive data loading). His research interests include: Business Intelligence (Decision Support,	./cache/work_u3dpwvocwvdsfhjouzguzxxfy4.pdf	./txt/work_u3dpwvocwvdsfhjouzguzxxfy4.txt