Adaptive text mining: inferring structure from sequences

DOI10.1016/S1570-8667(03)00084-4zbMath1118.68668DBLPjournals/jda/Witten04WikidataQ59820996 ScholiaQ59820996MaRDI QIDQ876712

Ian H. Witten

Publication date: 26 April 2007

Published in: Journal of Discrete Algorithms (Search for Journal in Brave)

zbMATH Keywords

text miningword segmentationcompression algorithmstext categorizationacronym extractionadaptive techniquesgeneric entity extractionkeyphrase extractionphrase hierarchies

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Knowledge representation (68T30)

Related Items (2)

Analysis of fractals, image compression, entropy encoding, Karhunen-Loève transforms ⋮ Scaling, Wavelets, Image Compression, and Encoding

Cites Work

• Unnamed Item
• Unnamed Item
• Bagging predictors
• A universal algorithm for sequential data compression
• Compression of individual sequences via variable-rate coding
• Algorithms on Strings, Trees and Sequences
• Error bounds for convolutional codes and an asymptotically optimum decoding algorithm

This page was built for publication: Adaptive text mining: inferring structure from sequences