Detection of Crimes Using Unsupervised Learning Techniques
نویسندگان
چکیده
منابع مشابه
Intrusion Detection using unsupervised learning
Clustering is the one of the efficient datamining techniques for intrusion detection. In clustering algorithm kmean clustering is widely used for intrusion detection. Because it gives efficient results incase of huge datasets. But sometime kmean clustering fails to give best result because of class dominance problem and no class problem. So for removing these problems we are proposing two new a...
متن کاملVideo mining using combinations of unsupervised and supervised learning techniques
We discuss the meaning and significance of the video mining problem, and present our work on some aspects of video mining. A simple definition of video mining is unsupervised discovery of patterns in audio-visual content. Such purely unsupervised discovery is readily applicable to video surveillance as well as to consumer video browsing applications. We interpret video mining as content-adaptiv...
متن کاملEarly detection of MS in fMRI images using deep learning techniques
Introduction & Objective:MS is a disease of the central nervous system in which the body makes a defensive attack on its tissues. The disease can affect the brain and spinal cord, causing a wide range of potential symptoms, including balance, movement and vision problems. MRI and fMRI images are a very important tool in the diagnosis and treatment of MS. The aim of this study was to provide...
متن کاملMachine Learning for NLP: Unsupervised learning techniques
• So far we have seen supervised learning (of classification): – learning based on a training set where labelling of instances represents the target (categorisation) function – classifier implements an approximation of the target funtion – outcome: a classification decision • Unsupervised learning: – learning based on unannotated instances; – outcome: a grouping of objects (instances and groups...
متن کاملDamage Detection on Historical Buildings Using Unsupervised Classification Techniques
This paper describes a methodology for the documentation and analysis of historical buildings. Techniques of digital image processing give the possibility to detect damages, such as moisture or biological changes, on surfaces of monuments. Intensity data obtained from laser scanner equipment and colour information gathered with a digital camera were evaluated for damage identification that affe...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: APTIKOM Journal on Computer Science and Information Technologies
سال: 2020
ISSN: 2528-2425,2528-2417
DOI: 10.34306/csit.v2i1.62