Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

6.1K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
6.1K
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

478
Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
478
Incomplete Dominance01:43

Incomplete Dominance

25.3K
Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.
25.3K
Pedigree Analysis01:35

Pedigree Analysis

84.8K
Overview
84.8K
Genetic Variation01:25

Genetic Variation

362
Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles,...
362
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

2.9K
2.9K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Innovation of Human Body Positioning System and Basketball Training System.

Computational intelligence and neuroscience·2022
See all related articles

Related Experiment Video

Updated: Aug 27, 2025

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.3K

Dynamic Database Design of Sports Quality Based on Genetic Data Algorithm and Artificial Intelligence.

Qiang Yue1

  • 1China National Basketball Academy, Shandong Sport University, Rizhao, Shandong 250102, China.

Computational Intelligence and Neuroscience
|September 26, 2022
PubMed
Summary

Traditional data mining is insufficient for dynamic sports data. This study introduces a big data approach for efficient sports learning analysis, revealing a lack of exercise habits in college students.

More Related Videos

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.8K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.6K

Related Experiment Videos

Last Updated: Aug 27, 2025

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.3K
The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy
11:53

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

11.8K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.6K

Area of Science:

  • Data Science
  • Sports Science
  • Educational Technology

Background:

  • Traditional data mining methods struggle with the volume and velocity of modern datasets.
  • Emerging internet and cloud computing technologies necessitate advanced data processing solutions.
  • Existing big data technologies face limitations in cost-effective and timely data value extraction.

Purpose of the Study:

  • To develop an efficient big data system for sports learning statistics and analysis.
  • To address the limitations of traditional data mining in handling dynamic sports data.
  • To investigate college students' exercise status and identify areas for sports education reform.

Main Methods:

  • Construction of a sports database for data statistics and analysis.
  • Log file mining, classification, and preprocessing.
  • Incremental data mining and classification model establishment for personalized services.
  • Data survey to assess students' exercise status and habits.

Main Results:

  • The developed sports database system effectively performs statistics and analysis on sports learning data.
  • Log files were successfully mined, classified, and preprocessed.
  • Incremental data mining enabled the establishment of a classification model and database updates.
  • A data survey indicated a significant lack of physical exercise awareness and fitness habits among college students.

Conclusions:

  • The proposed big data approach offers an effective solution for analyzing sports learning data.
  • The study highlights the need for reforms in college sports to foster better exercise awareness and habits.
  • Personalized services can be provided through incremental data mining and database updates.