| DC Field | Value | Language |
|---|
| dc.contributor.author | Stulov, N. | - |
| dc.date.accessioned | 2018-03-12T11:43:55Z | - |
| dc.date.available | 2018-03-12T11:43:55Z | - |
| dc.date.issued | 2018 | - |
| dc.identifier.citation | Stulov, N. Patent landscapes & new technology trends in IoT: extracting and visualizing data patterns / N. Stulov // Открытые семантические технологии проектирования интеллектуальных систем = Open Semantic Technologies for Intelligent Systems (OSTIS-2018) : материалы международной научно-технической конференции (Минск, 15 - 17 февраля 2018 года) / редкол. : В. В. Голенков (отв. ред.) [и др.]. – Минск : БГУИР, 2018. – С. 293 – 296. | ru_RU |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/30396 | - |
| dc.description.abstract | Extracting complex relations in unstructured data
is a challenging and promising task in any field, especially fast-
growing like Internet of Things (IoT). In this work we research
different methods to extract and represent these relations. As a
result, we present a set of text mining and patent mining tools
and an approach to further building knowledge-based decision
support system. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | БГУИР | ru_RU |
| dc.subject | материалы конференций | ru_RU |
| dc.subject | patent mining | ru_RU |
| dc.subject | text mining | ru_RU |
| dc.subject | decision support | ru_RU |
| dc.subject | patent landscape | ru_RU |
| dc.subject | information extraction | ru_RU |
| dc.title | Patent landscapes & new technology trends in IoT: extracting and visualizing data patterns | ru_RU |
| dc.type | Статья | ru_RU |
| Appears in Collections: | OSTIS-2018
|
