A Data Mining and Analysis Platform for Investment Recommendations

被引：4

作者：

Hernandez-Nieves, Elena ^{[1
]}

Parra-Dominguez, Javier ^{[1
]}

Chamoso, Pablo ^{[1
]}

Rodriguez-Gonzalez, Sara ^{[1
]}

Corchado, Juan M. ^{[1
,2
,3
,4
]}

机构：

[1] Univ Salamanca, BISITE Res Grp, Edificio Multiusos IDi, Salamanca 37007, Spain

[2] Air Inst, IoT Digital Innovat Hub, Salamanca 37188, Spain

[3] Osaka Inst Technol, Dept Elect Informat & Commun, Fac Engn, Osaka 5358585, Japan

[4] Univ Malaysia Kelantan, Pusat Komputeran Informat, Bachok 16300, Kelantan, Malaysia

来源：

ELECTRONICS | 2021年 / 10卷 / 07期

关键词：

artificial intelligence; Big Data analytics; forecasting systems; recommender system; Fintech;

D O I：

10.3390/electronics10070859

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This article describes the development of a recommender system to obtain buy/sell signals from the results of technical analyses and of forecasts performed for companies operating in the Spanish continuous market. It has a modular design to facilitate the scalability of the model and the improvement of functionalities. The modules are: analysis and data mining, the forecasting system, the technical analysis module, the recommender system, and the visualization platform. The specification of each module is presented, as well as the dependencies and communication between them. Moreover, the proposal includes a visualization platform for high-level interaction between the user and the recommender system. This platform presents the conclusions that were abstracted from the resulting values.

引用

页数：17

共 16 条

[1]

[Anonymous], 2017, International Journal of Pure and Applied Mathematics

[2]

Arora N., 2019, P INT C SUST COMP SC

[3] Surveying stock market forecasting techniques - Part II: Soft computing methods [J].

Atsalakis, George S. ;

Valavanis, Kimon P. .

EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (03) :5932-5941

[4]

Dash R., 2016, The Journal of Finance and Data Science, V2, P42, DOI DOI 10.1016/J.JFDS.2016.03.002

[5]

Del Canto A., INVESTPY FINANCIAL D

[6] Evolutionary game theoretical on-line event detection over tweet streams [J].

Di Girolamo, Rocco ;

Esposito, Christian ;

Moscato, Vincenzo ;

Sperli, Giancarlo .

KNOWLEDGE-BASED SYSTEMS, 2021, 211

[7]

Edwards R. D., 2018, TECHNICAL ANAL STOCK, DOI DOI 10.4324/9781315115719

[8]

Khaidem L., 2016, ARXIV160500003

[9] DICO: A Graph-DB Framework for Community Detection on Big Scholarly Data [J].

Mercorio, Fabio ;

Mezzazanica, Mario ;

Moscato, Vincenzo ;

Picariello, Antonio ;

Sperli, Giancarlo .

IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTING, 2021, 9 (04) :1987-2003

[10] An intelligent recommender system for stock trading [J].

Nair, Binoy B. ;

Mohandas, V. P. .

INTELLIGENT DECISION TECHNOLOGIES-NETHERLANDS, 2015, 9 (03) :243-269

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