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

Quantifying and Rejecting Outliers: The Grubbs Test01:02

Quantifying and Rejecting Outliers: The Grubbs Test

2.9K
Sometimes, a data set can have a recorded numerical observation that greatly  deviates from the rest of the data. Assuming that the data is normally distributed, a statistical method called the Grubbs test can be used to determine whether the observation is truly an outlier.  To perform a two-tailed Grubbs test, first, calculate the absolute difference between the outlier and the mean. Then, calculate the ratio between this difference and the standard deviation of the sample. This...
2.9K
Detection of Gross Error: The Q Test01:00

Detection of Gross Error: The Q Test

6.6K
When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
6.6K
Routh-Hurwitz Criterion II01:19

Routh-Hurwitz Criterion II

563
In the application of the Routh-Hurwitz criterion, two specific scenarios can arise that complicate stability analysis.
The first scenario occurs when a singular zero appears in the first column of the Routh table. This situation creates a division by zero issues. To resolve this, a small positive or negative number, denoted as epsilon (∈), is substituted for the zero. The stability analysis proceeds by assuming a sign for ∈. If ∈ is positive, any sign change in the first...
563
Routh-Hurwitz Criterion I01:15

Routh-Hurwitz Criterion I

382
Consider an electrical power grid, where stability is essential to prevent blackouts. The Routh-Hurwitz criterion is a valuable tool for assessing system stability under varying load conditions or faults. By analyzing the closed-loop transfer function, the Routh-Hurwitz criterion helps determine whether the system remains stable.
To apply the Routh-Hurwitz criterion, a Routh table is constructed. The table's rows are labeled with powers of the complex frequency variable s, starting from the...
382
Impact of Groups on Groups01:19

Impact of Groups on Groups

93
Social psychologists analyze how groups influence one another, shaping social structures and interactions through both cooperation and competition. These dynamics manifest in various ways, ranging from economic partnerships to intergroup conflicts that shape societal structures and perceptions.Cooperation and Competition in Intergroup RelationsIntergroup relationships vary across contexts, sometimes fostering cooperation and mutual benefit while at other times leading to conflict and...
93
Limits with Oscillating Discontinuities01:19

Limits with Oscillating Discontinuities

52
An oscillating discontinuity is a type of discontinuity in which a function’s values fluctuate infinitely often as the input approaches a particular point. Unlike jump discontinuities, where the function suddenly shifts between two values, or infinite discontinuities, where the function diverges without bound, an oscillating discontinuity arises from rapid back-and-forth variation. Because the function never stabilizes toward a single value, no finite limit exists at that point.One of the...
52

You might also read

Related Articles

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

Sort by
Same author

simpiTB - a pipeline designed to extract meaningful information from whole genome sequencing data of Mycobacterium tuberculosis complex, allows to combine genomic, phylogenetic and clustering analyses in existing SITVIT databases.

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases·2023
Same author

KaruBioNet: a network and discussion group for a better collaboration and structuring of bioinformatics in Guadeloupe (French West Indies).

Bioinformatics advances·2023
Same author

Novel methods included in SpolLineages tool for fast and precise prediction of Mycobacterium tuberculosis complex spoligotype families.

Database : the journal of biological databases and curation·2020
See all related articles

Related Experiment Video

Updated: Nov 5, 2025

Denaturing Gradient Gel Electrophoresis DGGE
10:52

Denaturing Gradient Gel Electrophoresis DGGE

Published on: February 25, 2007

21.8K

DISGROU: an algorithm for discontinuous subgroup discovery.

Reynald Eugenie1, Erick Stattner2

  • 1Laboratory of Mathematics, Computer Science and Applications, Université des Antilles, Pointe à Pitre, Guadeloupe, France.

Peerj. Computer Science
|May 14, 2021
PubMed
Summary

This study introduces DISGROU, a novel method for finding subgroups in numerical data by allowing discontinuous attribute intervals. This approach improves subgroup quality by avoiding irrelevant objects found in traditional continuous interval methods.

Keywords:
Data miningDescriptive modelingKnowledge discoverySubgroup discovery

More Related Videos

Determination of Aggregate Surface Morphology at the Interfacial Transition Zone ITZ
08:59

Determination of Aggregate Surface Morphology at the Interfacial Transition Zone ITZ

Published on: December 16, 2019

8.4K
Novel Sequence Discovery by Subtractive Genomics
09:40

Novel Sequence Discovery by Subtractive Genomics

Published on: January 25, 2019

8.9K

Related Experiment Videos

Last Updated: Nov 5, 2025

Denaturing Gradient Gel Electrophoresis DGGE
10:52

Denaturing Gradient Gel Electrophoresis DGGE

Published on: February 25, 2007

21.8K
Determination of Aggregate Surface Morphology at the Interfacial Transition Zone ITZ
08:59

Determination of Aggregate Surface Morphology at the Interfacial Transition Zone ITZ

Published on: December 16, 2019

8.4K
Novel Sequence Discovery by Subtractive Genomics
09:40

Novel Sequence Discovery by Subtractive Genomics

Published on: January 25, 2019

8.9K

Area of Science:

  • Data Mining
  • Subgroup Discovery
  • Machine Learning

Background:

  • Identifying significant subgroups in numerical data is crucial for data analysis.
  • Existing methods often rely on continuous attribute intervals, which can lead to less precise subgroup identification.
  • These methods may include irrelevant objects, degrading the quality of discovered subgroups.

Purpose of the Study:

  • To present DISGROU, a new approach for subgroup discovery in numerical data.
  • To enable the identification of subgroups defined by discontinuous attribute intervals.
  • To improve the quality of discovered subgroups compared to traditional methods.

Main Methods:

  • DISGROU breaks down attribute intervals in a novel way during subgroup research.
  • It assumes attribute ranges can be disjoint to enhance subgroup quality.
  • The method operates directly on numerical attributes, bypassing the need for prior discretization.

Main Results:

  • DISGROU identifies subgroups with potentially discontinuous attribute intervals.
  • The approach avoids the inclusion of irrelevant objects often found in wider, continuous intervals.
  • Efficiency is demonstrated through comparison with reference algorithms and a case study.

Conclusions:

  • DISGROU offers an effective alternative to traditional subgroup discovery methods.
  • The ability to use discontinuous intervals enhances the precision and quality of identified subgroups.
  • The method's direct use of numerical attributes simplifies the process and improves results.