25 Feb 202419cites
Applying <i>k</i>‐nearest neighbors to time series forecasting: Two new approachesPublisher siteJournal of Forecasting, Forecasting Techniques and Applications
Active, last published 2026
In stock market forecasting methods
Mohamed
Dakkon
Scholar“Research focused on Stock Market Forecasting Methods and adjacent fields.”
Claim Your Profile6
H-index
146
Citations
Mohamed has not officially claimed their profile. If you are Mohamed, claim it free.
Claim Your Profile
Pioneer
LOCKED
Pathfinder
LOCKED
Scholar
EARNED
Innovator
LOCKED
Inventor
LOCKED
Catalyst
LOCKED
Expert
UPGRADE
01 · About the work
What I study
ohamed Dakkon is a researcher working on Stock Market Forecasting Methods. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Mohamed's work has been cited 146 times across 3 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Stock Market Forecasting Methods×3Bayesian Methods and Mixture Models×3Forecasting Techniques and Applications×3Probability and Risk Models×2Time Series Analysis and Forecasting×2
04 · Where I am
Affiliations
Affiliation on published researchAbdelmalek Essaâdi University, MoroccoDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
3 works4 May 2023
Classical and fast parameters tuning in nearest neighbors with stop conditionPublisher siteOPSEARCH, Stock Market Forecasting Methods
4 Apr 202210cites
Applying regression conformal prediction with nearest neighbors to time series dataPublisher siteCommunications in Statistics - Simulation and Computation, Neural Networks and Applications
Expert Academic Profiles go further
Citation trend analytics, exportable publication records, and direct enquiry routing from industry and funders.
Are you Mohamed?
Claim it to verify your details, connect with industry partners, and explore Fractional Domain Expert opportunities through MARATTO™.
African researchers are full of potential that too often goes unrecognised. Your MARATTO™ profile gives your work the commercial pathway it deserves.
Claim Your Profile
Free to claim · takes a minute to verify it’s you