Matches in SemOpenAlex for { <https://semopenalex.org/work/W995124932> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W995124932 abstract "We live in the era of Big Data, or at least our awareness of Big Data’s presence and impact has sharpened in the past ten years. Compared to data characteristics decades ago, Big Data not only means a deluge of unfiltered bytes, but even more importantly it represents a dramatic increase in data dimensionality (the number of variables) and complexity (the relationships among the often interdependent variables, intricacy of cluster structure). Along with the opportunities for nuanced understanding of processes and for decision making, these data created new demands for information extraction methods in terms of the detail that is expected to be identified in analysis tasks such as clustering, classification, regression, and parameter inference. Many traditionally favored techniques do not meet these challenges if one’s aim is to fully exploit the rich information captured by sophisticated sensors and other automated data collection techniques, to ensure discovery of surprising small anomalies, discriminate important, subtle differences, and more. A flurry of technique developments has been spawned, many augmenting existing algorithms with increasingly complex features." @default.
- W995124932 created "2016-06-24" @default.
- W995124932 creator A5009569707 @default.
- W995124932 date "2014-01-01" @default.
- W995124932 modified "2023-09-27" @default.
- W995124932 title "The Sky Is Not the Limit" @default.
- W995124932 cites W1537699624 @default.
- W995124932 cites W2014849583 @default.
- W995124932 cites W2027424866 @default.
- W995124932 cites W2027434643 @default.
- W995124932 cites W2047870719 @default.
- W995124932 cites W2094150678 @default.
- W995124932 cites W2106773151 @default.
- W995124932 cites W2125134203 @default.
- W995124932 cites W2136944379 @default.
- W995124932 cites W2142363274 @default.
- W995124932 cites W2151616049 @default.
- W995124932 cites W2160045918 @default.
- W995124932 cites W2168487341 @default.
- W995124932 cites W4237222446 @default.
- W995124932 doi "https://doi.org/10.1007/978-3-319-07695-9_17" @default.
- W995124932 hasPublicationYear "2014" @default.
- W995124932 type Work @default.
- W995124932 sameAs 995124932 @default.
- W995124932 citedByCount "0" @default.
- W995124932 crossrefType "book-chapter" @default.
- W995124932 hasAuthorship W995124932A5009569707 @default.
- W995124932 hasConcept C124101348 @default.
- W995124932 hasConcept C154945302 @default.
- W995124932 hasConcept C165696696 @default.
- W995124932 hasConcept C17744445 @default.
- W995124932 hasConcept C185874996 @default.
- W995124932 hasConcept C199539241 @default.
- W995124932 hasConcept C2522767166 @default.
- W995124932 hasConcept C2776214188 @default.
- W995124932 hasConcept C38652104 @default.
- W995124932 hasConcept C41008148 @default.
- W995124932 hasConcept C73555534 @default.
- W995124932 hasConcept C75684735 @default.
- W995124932 hasConceptScore W995124932C124101348 @default.
- W995124932 hasConceptScore W995124932C154945302 @default.
- W995124932 hasConceptScore W995124932C165696696 @default.
- W995124932 hasConceptScore W995124932C17744445 @default.
- W995124932 hasConceptScore W995124932C185874996 @default.
- W995124932 hasConceptScore W995124932C199539241 @default.
- W995124932 hasConceptScore W995124932C2522767166 @default.
- W995124932 hasConceptScore W995124932C2776214188 @default.
- W995124932 hasConceptScore W995124932C38652104 @default.
- W995124932 hasConceptScore W995124932C41008148 @default.
- W995124932 hasConceptScore W995124932C73555534 @default.
- W995124932 hasConceptScore W995124932C75684735 @default.
- W995124932 hasLocation W9951249321 @default.
- W995124932 hasOpenAccess W995124932 @default.
- W995124932 hasPrimaryLocation W9951249321 @default.
- W995124932 hasRelatedWork W11801257 @default.
- W995124932 hasRelatedWork W2164364358 @default.
- W995124932 hasRelatedWork W2286747734 @default.
- W995124932 hasRelatedWork W2507341422 @default.
- W995124932 hasRelatedWork W2558413962 @default.
- W995124932 hasRelatedWork W2587259914 @default.
- W995124932 hasRelatedWork W2589091420 @default.
- W995124932 hasRelatedWork W2767547957 @default.
- W995124932 hasRelatedWork W2793151347 @default.
- W995124932 hasRelatedWork W2892244564 @default.
- W995124932 hasRelatedWork W2914814534 @default.
- W995124932 hasRelatedWork W2923852179 @default.
- W995124932 hasRelatedWork W3005169028 @default.
- W995124932 hasRelatedWork W3145381861 @default.
- W995124932 hasRelatedWork W3159697310 @default.
- W995124932 hasRelatedWork W564299006 @default.
- W995124932 hasRelatedWork W2187273046 @default.
- W995124932 hasRelatedWork W2548567768 @default.
- W995124932 hasRelatedWork W2587222608 @default.
- W995124932 hasRelatedWork W2621397709 @default.
- W995124932 isParatext "false" @default.
- W995124932 isRetracted "false" @default.
- W995124932 magId "995124932" @default.
- W995124932 workType "book-chapter" @default.