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Cryptocurrency Price Prediction using Time Series And Social Sentiment…

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작성자 Warner 작성일25-01-21 08:56 조회20회 댓글0건

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ContentsBDCAT '19: Proceedings of the sixth IEEE/ACM International Conference on Big Data Computing, Applications and TechnologiesCryptocurrency Price Prediction utilizing Time Series and Social Sentiment DataPages 35 - forty one

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Index Terms

Cryptocurrency Price Prediction using Time Series and Social Sentiment DataApplied computing

Operations analysis

Forecasting

Information methods

Information retrieval

Retrieval tasks and targets

Sentiment evaluation

Information methods functions

Data mining

Association guidelines

Mathematics of computing

Probability and statistics

Statistical paradigms

Time collection analysis

Security and privacy

Cryptography

Symmetric cryptography and hash features

Hash functions and message authentication codes

Theory of computation

Theory and algorithms for software domains

Machine learning theory

Structured prediction

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General Chairs:
Kenneth JohnsonAuckland University of Technology, New Zealand

,
Josef SpillnerZurich University of Applied Sciences, Switzerland

,
Program Chairs:
Xinghui ZhaoWashington State University, USA

,
Olga DatskovaCERN, Switzerland

,
Blesson VargheseQueen's University Belfast, UK


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SIGARCH: ACM Special Interest Group on Computer Architecture
- IEEE TCSC: IEEE Technical Committee on Scalable Computing
Publisher

Association for Computing Machinery

New York, NY, United States

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Author Tags

algorithmic buying and selling
bitcoin
cryptocurrency
sentiment analytics
time series analysis
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Vlahavas GVakali A(2024)Dynamics between Bitcoin Market Trends and Social Media ActivityFinTech10.3390/fintech30300203:3(349-378)Online publication date: 24-Jul-2024https://doi.org/10.3390/fintech3030020


Roumeliotis KTselikas NNasiopoulos D(2024)LLMs and NLP Models in Cryptocurrency Sentiment Analysis: A Comparative Classification StudyBig Data and Cognitive Computing10.3390/bdcc80600638:6(63)Online publication date: 5-Jun-2024https://doi.org/10.3390/bdcc8060063


Jain SJohari SDelhibabu R(2024)The future of Cryptocurrency Market Analysis: Social Media Data and User Meta-DataLobachevskii Journal of Mathematics10.1134/S199508022460071745:3(1160-1174)Online publication date: 19-Jul-2024https://doi.org/10.1134/S1995080224600717


Chandra DTyagi PGupta RSaxena AKharaliya S(2024)Cryptocurrency Price Prediction utilizing Machine Learning2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT)10.1109/InCACCT61598.2024.10551043(258-264)Online publication date: 2-May-2024https://doi.org/10.1109/InCACCT61598.2024.10551043


Singh TMishra SPandey DSharma CKoli SJoshi K(2024)Crypto foreign money-bitcoin Price Predictor utilizing Linear Regression and random forest2024 International Conference on Electrical Electronics and Computing Technologies (ICEECT)10.1109/ICEECT61758.2024.10738906(1-5)Online publication date: 29-Aug-2024https://doi.org/10.1109/ICEECT61758.2024.10738906


Saraswathi RBollina SBongu RCherukuru AChintala N(2023)A Novel LSTM primarily based Approach for Crypto Currency Price Prediction2023 International Conference on Sustainable Communication Networks and Application (ICSCNA)10.1109/ICSCNA58489.2023.10370544(1-6)Online publication date: 15-Nov-2023https://doi.org/10.1109/ICSCNA58489.2023.10370544


Shrotriya LKhatwani RMishra MShah PBadala JChinmulgund ABedarkar MSekhar R(2023)Cryptocurrency Algorithmic Trading with Price Forecasting Analysis using PowerBI2023 First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI)10.1109/ICAEECI58247.2023.10370932(1-6)Online publication date: 19-Oct-2023https://doi.org/10.1109/ICAEECI58247.2023.10370932


Erfanian SZhou YRazzaq AAbbas ASafeer ALi T(2022)Predicting Bitcoin (BTC) Price within the Context of Economic Theories: A Machine Learning ApproachEntropy10.3390/e2410148724:10(1487)Online publication date: 18-Oct-2022https://doi.org/10.3390/e24101487


Kim DLee MKi WKim D(2022)Exploring the Role of User-Driven Communities in NFT Valuation: A Case Study of DiscordJournal of Multimedia Information System10.33851/JMIS.2022.9.4.2999:4(299-314)Online publication date: 31-Dec-2022https://doi.org/10.33851/JMIS.2022.9.4.299


Žunić ADželihodžić A(2022)Predicting the worth of Cryptocurrencies Using Machine Learning AlgorithmsAdvanced Technologies, Systems, and Applications VII10.1007/978-3-031-17697-5_33(412-425)Online publication date: 16-Oct-2022https://doi.org/10.1007/978-3-031-17697-5_33


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