Detail Combining Information Extraction With Genetic Algorithms for Text Mining   Oleh:  Atkinson-Abutridy, J. ; Mellish, C. ; Aitken, S. Jenis: Article from Bulletin/Magazine Dalam koleksi: IEEE Intelligent Systems vol. 19 no. 3 (2004), page 22-30. Topik: MINING; information extraction; genetic algorithms; text mining Ketersediaan Perpustakaan Pusat (Semanggi) Nomor Panggil: II60.7 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada     Lihat Detail Induk Isi artikel An evolutionary approach that combines information extraction technology and genetic algorithms can produce a new, integrated model for text mining. Text mining discovers unseen patterns in textual databases. We've brought together the benefits of GA s for data mining and IE technology to propose a new approach for high - level knowledge discovery. Unlike previous KDT approaches, our model doesn't rely on external resources or conceptual descriptions. Instead, it performs the discovery using only information from the original corpus of text documents and from training data computed from them. The GA that produces the hypotheses is strongly guided by semantic constraints, which means that several specifically defined metrics evaluate the quality and plausibility. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Kembali

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