Book
Survey of Text Mining II Clustering, Classification, and Retrieval
| Identifier | --michaelwbe-1339 |
|---|---|
| Penulis / Pengarang | Michael W. Berry |
| Kata Kunci | Clustering Classification and Retrieval |
| Tanggal Publikasi | 18 Jun 2020 |
| Bahasa | Bahasa Inggris |
| Abstrak / Deskripsi | As we enter the third decade of the World Wide Web (WWW), the textual revolution has seen a tremendous change in the availability of online information. Finding information for just about any need has never been more automatic””just a keystroke or mouseclick away. While the digitalization and creation of textual materials continues at light speed, the ability to navigate, mine, or casually browse through documents too numerous to read (or print) lags far behind. What approaches to text mining are available to efficiently organize, classify, label, and extract relevant information for today’s information-centric users? What algorithms and software should be used to detect emerging trends from both text streams and archives? These are just a few of the important questions addressed at the Text Mining Workshop held on April 28, 2007, in Minneapolis, MN. This workshop, the fifth in a series of annual workshops on text mining, was held on the final day of the Seventh SIAM International Conference on Data Mining (April 26–28, 2007). |
Attached Files / Download (1)
| No | Nama Berkas | Format | Ukuran | Aksi |
|---|---|---|---|---|
| 1 | 2008 Survey of Text Mining II Clustering, Classification, and Retrieval.pdf | application/pdf | 2,9 MB | ⬇️ Buka / Download |
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