مورد إلكتروني
Text and Data Mining Forum
| العنوان: | Text and Data Mining Forum |
|---|---|
| بيانات النشر: | Virginia Tech. University Libraries 2017-04-12 |
| تفاصيل مُضافة: | Arrow, Tom Ewing, E. Thomas Fan, Weiguo Fox, Edward A. House, Leanna L. Huang, Bert Pannabecker, Virginia |
| نوع الوثيقة: | Electronic Resource |
| وصف مادي: | Dimensions: 853 x 480 Duration: 1:13:08 Size: 733 MB |
| مستخلص: | This panel discussion was part of Open Data Week 2017 at Virginia Tech. Panelists discussed opportunities and challenges related to text and data mining, with a focus on research purposes and information access. Panelists: Tom Arrow (ContentMine), Tom Ewing (College of Liberal Arts and Human Sciences, Virginia Tech), Weiguo (Patrick) Fan (Pamplin College of Business, Virginia Tech), Ed Fox (Computer Science, Virginia Tech), Leanna House (Statistics, Virginia Tech), Brent Huang (Computer Science, Virginia Tech). Moderator: Virginia Pannabecker (University Libraries, Virginia Tech). Open Data Week 2017 events were supported by a Virginia Tech Beyond Boundaries innovation grant as well as a Virginia Tech faculty mentoring grant. |
| مصطلحات الفهرس: | Data mining, ContentMine, Presentation, Video |
| URL: | |
| الإتاحة: | Open access content. Open access content In Copyright http://rightsstatements.org/vocab/InC/1.0 |
| ملاحظة: | English |
| أرقام أخرى: | VPI oai:vtechworks.lib.vt.edu:10919/77526 1199030992 |
| المصدر المساهم: | VIRGINIA TECH From OAIster®, provided by the OCLC Cooperative. |
| رقم الأكسشن: | edsoai.on1199030992 |
| قاعدة البيانات: | OAIster |
| الوصف غير متاح. |