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IoTHunter: IoT network traffic classification using device specific keywords

IET Networks, 2021
With the proliferation of IoT devices, network management and security monitoring are becoming a challenge. For the timely detection of IoT device status and their behaviour, traffic classification methods are used.
Pratibha Khandait   +2 more
semanticscholar   +1 more source

Connected keywords

2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS), 2015
To improve the expressivity and accuracy of database query interfaces, a keyword-based constrained query language is introduced to let users explicitly express the intent of their search using keywords linked by meaningful grammatical connectives. Individually, keywords and connectives correspond to textual descriptions attached to components of the ...
Smits, Grégory   +2 more
openaire   +2 more sources

Keyword Spotting using Keyword Adapted Language Model

2007 IEEE 15th Signal Processing and Communications Applications, 2007
In keyword spotting applications, language modeling directly affects the system performance, as well as the acoustical modeling. This study focuses on the effects of different language models on the keyword spotting performance on Turkish voice recordings.
haznedaroğlu, ali   +2 more
openaire   +2 more sources

Finding All You Need: Web APIs Recommendation in Web of Things Through Keywords Search

IEEE Transactions on Computational Social Systems, 2019
The increasing number of web APIs registered in service sharing communities (e.g., http://ProgrammableWeb.com that provides a platform benefiting the social interactions between different software developers) has provided a promising way to quickly build
Lianyong Qi   +6 more
semanticscholar   +1 more source

Chaos with Keywords: Exposing Large Language Models Sycophancy to Misleading Keywords and Evaluating Defense Strategies

Annual Meeting of the Association for Computational Linguistics
This study explores the sycophantic tendencies of Large Language Models (LLMs), where these models tend to provide answers that match what users want to hear, even if they are not entirely correct.
Aswin Rrv   +4 more
semanticscholar   +1 more source

Keywords Generation Improves E-Commerce Session-based Recommendation

The Web Conference, 2020
By exploring fine-grained user behaviors, session-based recommendation predicts a user’s next action from short-term behavior sessions. Most of previous work learns about a user’s implicit behavior by merely taking the last click action as the ...
Yuanxing Liu   +5 more
semanticscholar   +1 more source

Occurrence of author keywords and keywords plus in social sciences and humanities research : A preliminary study

Collnet Journal of Scientometrics and Information Management, 2018
Keywords are important words and phrases of a research paper, expressing its essence. The longitudinal study of occurrence of keywords in specific discipline expresses trends of research.
M. Tripathi   +4 more
semanticscholar   +1 more source

Keyword:

2021
Balkenhol, M., van den Hemel, E.
  +5 more sources

Keywords

2017
This chapter presents a concise digest of the meanings of five general concepts in private international law: national, citizen, resident, foreigner, and subject. Like Raymond Williams’ Keywords, it sketches the etymology, translations, development, and shades of meaning of each term. This collection defines terms used in the chapters to follow, and is
openaire   +2 more sources

An improved TextRank keywords extraction algorithm

ACM Turing Celebration Conference, 2019
Keywords extraction is widely used in the field of natural language processing. How to quickly and accurately extract keywords has become the key issue in text processing.
Suhan Pan, Zhiqiang Li, Juan Dai
semanticscholar   +1 more source

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