A knowledge graph–GCN–community detection integrated model for large-scale stock price prediction

T Wang, J Guo, Y Shan, Y Zhang, B Peng, Z Wu - Applied Soft Computing, 2023 - Elsevier
Owing to uncertainty in the stock market, stock price prediction has always been a
challenging research hotspot. In recent years, many stock prediction methods have used …

Incremental multiple kernel extreme learning machine and its application in Robo-advisors

J Xue, Q Liu, M Li, X Liu, Y Ye, S Wang, J Yin - Soft Computing, 2018 - Springer
Robo-advisors are a class of robots based on the financial needs of investors, through the
algorithm and products to complete the previous financial advisory services provided by …

Generating fuzzy attribute rules via fuzzy formal concept analysis

V Liñeiro-Barea, J Medina, I Medina-Bulo - … Computational Intelligence and …, 2018 - Springer
Extracting knowledge from databases is a procedure which interest has increased in a wide
variety of areas like stock market, medicine or census data, to name a few. A compact …

Actionable high-coherent-utility fuzzy itemset mining

CH Chen, AF Li, YC Lee - Soft Computing, 2014 - Springer
Many fuzzy data mining approaches have been proposed for finding fuzzy association rules
with the predefined minimum support from quantitative transaction databases. Since each …

Oportunidades de inversión para el pequeño inversor español en el albor de la inteligencia artificial

P Lozano Álvarez - 2023 - uvadoc.uva.es
La Inteligencia Artificial (IA) puede ayudar a pequeños inversores en la tarea de canalizar el
ahorro y optimizar la relación riesgo-rentabilidad. En este trabajo se analizan los principios …

Forecasting Stock Trends with Feedforward Neural Networks

M Traskowski, E Kannout - 2024 19th Conference on …, 2024 - ieeexplore.ieee.org
Stock market prediction stands as a complex and crucial task, pivotal for enhancing the
overall stability and efficiency of financial markets by offering essential insights into market …

A bi-directional evolution algorithm for financial recommendation model

J Xue, L Huang, Q Liu, J Yin - … , NCTCS 2017, Wuhan, China, October 14 …, 2017 - Springer
By the challenge of rich data and poor information, recommender systems technology
emerged as the time require and vigorous developed to more and more powerful vitality …

[PDF][PDF] Financial Insights: Harnessing Recommender Systems through Bibliometric Analysis

M Nourahmadi - Knowledge Economy Studies, 2024 - julistb.sinaweb.net
In today's fast-paced world, the amount of information we access and utilize rapidly
increases. Data mining, involving the extraction of relevant data from vast datasets and …

A joint approach to data clustering and robo-advisor

J Xue, E Zhu, Q Liu, C Wang, J Yin - … , ICCCS 2018, Haikou, China, June 8 …, 2018 - Springer
Robo-advisor is a type of financial recommendation that can provide investors with financial
advice or investment management online. Data clustering and item recommendation are …

CRM and Marketing Analytics

SC Oner, Y Isik, AE Kazdaloglu, M Murat… - Business Analytics for …, 2022 - Springer
Customer relationship management (CRM) and marketing analytics is a combination of
techniques, technologies, and strategies that serve to create and deliver value to profitable …