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

Interference and Decay01:16

Interference and Decay

549
Forgetting is a complex cognitive phenomenon influenced by several factors, among which interference and decay are particularly prominent. These processes explain why individuals often struggle to retrieve specific information from memory, leading to lapses in recall that can be observed in everyday situations.
Interference occurs when competing memories hinder the retrieval of particular information. It can be classified into two types: proactive and retroactive interference. Proactive...
549
Instinctive Drift01:05

Instinctive Drift

1.0K
Instinctive drift refers to the tendency of animals to revert to their innate behaviors despite repeated reinforcement. Breland and Breland demonstrated this concept in an experiment with a raccoon. The raccoon was trained to pick up two coins and place them in a container in exchange for food. Initially, the raccoon learned to associate the coins with food, making them a conditioned stimulus or a substitute for food. However, over time, the raccoon became less willing to put the coins into the...
1.0K
Generalization, Discrimination, and Extinction01:24

Generalization, Discrimination, and Extinction

1.7K
Generalization, discrimination, and extinction are key concepts in operant conditioning that influence how behaviors are learned and maintained.
Generalization occurs when a behavior reinforced in one context is performed in similar situations. For instance, a student who studies diligently for calculus and receives excellent grades might apply the same study habits to psychology and history, expecting similar results. Generalization shows how learning in one setting can influence behavior in...
1.7K
Associative Learning01:27

Associative Learning

1.7K
Associative learning is a fundamental concept in behavioral psychology, wherein a connection is established between two stimuli or events, leading to a learned response. This process is critical in understanding how behaviors are acquired and modified. Conditioning, the mechanism through which associations are formed, can be divided into two main types: classical conditioning and operant conditioning, each elucidating different aspects of associative learning.
Classical conditioning, also known...
1.7K
Long-term Potentiation01:25

Long-term Potentiation

3.7K
Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
Hebbian LTP
LTP can occur when...
3.7K
Long-term Potentiation01:35

Long-term Potentiation

59.1K
Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre- and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
59.1K

You might also read

Related Articles

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

Sort by
Same author

Therapeutic Potential of <i>Salvia miltiorrhiza</i> in Glioblastoma: Evidence from in vitro and in vivo Studies.

International journal of general medicine·2026
Same author

Peripheral hematological landscapes as biomarkers for detecting postoperative progression in glioblastoma multiforme: a multivariable risk scoring approach.

Journal of neuro-oncology·2026
Same author

CNNs vs. transformers: A benchmark for multi-class marine debris identification.

The Science of the total environment·2026
Same author

Response to "Influence of surgical techniques on nursing management and clinical outcomes in elderly patients with spontaneous intracerebral hemorrhage" (JFMA-D-26-00558).

Journal of the Formosan Medical Association = Taiwan yi zhi·2026
Same author

Natural Product 4-Acetylantroquinonol B Enhances NK Cell-Mediated Immunity Against Glioblastoma.

Cancer medicine·2026
Same author

Clinical Characteristics of Patients with Non-Type 2 Chronic Rhinosinusitis with Nasal Polyps.

American journal of rhinology & allergy·2026

Related Experiment Videos

An efficient incremental learning mechanism for tracking concept drift in spam filtering.

Jyh-Jian Sheu1, Ko-Tsung Chu2, Nien-Feng Li3

  • 1College of Communication National Chengchi University Taipei, Taiwan, R.O.C.

Plos One
|February 10, 2017
PubMed
Summary

This study introduces an efficient spam filtering method using email headers and decision tree data mining. It adapts to dynamic environments by detecting concept drift and employing incremental learning for improved spam recognition.

Related Experiment Videos

Area of Science:

  • Computer Science
  • Data Mining
  • Information Security

Background:

  • Spam continues to be a significant issue in digital communication.
  • Existing spam filtering methods often require full email content analysis.
  • Adapting to evolving spam tactics, known as concept drift, remains a challenge.

Purpose of the Study:

  • To develop an efficient and adaptive spam filtering method.
  • To leverage email header analysis for improved spam detection.
  • To address the challenge of concept drift in spam filtering.

Main Methods:

  • Analysis of email headers to identify spam patterns.
  • Application of decision tree data mining to discover association rules for spam.
  • Development of a window-based technique for concept drift estimation.
  • Implementation of an incremental learning mechanism for dynamic adaptation.

Main Results:

  • A systematic spam filtering method based on header analysis and association rules.
  • Enhanced email filtering accuracy by focusing on headers.
  • Effective recognition of spam through concept drift estimation.
  • Improved adaptability to dynamic environments via incremental learning.

Conclusions:

  • The proposed method offers an efficient approach to spam filtering by analyzing email headers.
  • The technique effectively handles concept drift, enhancing spam recognition capabilities.
  • Incremental learning strengthens the system's adaptability to evolving spam strategies.