Anomaly Detection and Accuracy Measurement for Categorical Data
نویسندگان
چکیده
منابع مشابه
Entity Embedding-Based Anomaly Detection for Heterogeneous Categorical Events
Anomaly detection plays an important role in modern data-driven security applications, such as detecting suspicious access to a socket from a process. In many cases, such events can be described as a collection of categorical values that are considered as entities of different types, which we call heterogeneous categorical events. Due to the lack of intrinsic distance measures among entities, a...
متن کاملAnomaly Detection for Astronomical Data
Modern astronomical observatories can produce massive amount of data that are beyond the capability of the researchers to even take a glance. These scientific observations present both great opportunities and challenges for astronomers and machine learning researchers. In this project we address the problem of detecting anomalies/novelties in these large-scale astronomical data sets. Two types ...
متن کاملData Mining for Anomaly Detection
Since its founding, NASA has been dedicated to the advancement of aeronautics and space science. The NASA scientific and technical information (STI) program plays a key part in helping NASA maintain this important role. The NASA STI program operates under the auspices of the Agency Chief Information Officer. It collects, organizes, provides for archiving, and disseminates NASA's STI. The NASA S...
متن کاملAnomaly Detection in Categorical Datasets Using Bayesian Networks
In this paper we present a method for finding anomalous records in categorical or mixed datasets in an unsupervised fashion. Since the data in many problems consist of normal records with a small minority of anomalies, many approaches build a model from the training data and compare the test records against it. But instead of building a model, we keep track of the number of occurrences of diffe...
متن کاملAccuracy Improving Guidelines for Network-based Anomaly Detection Systems
Since the seminal 1998/1999 DARPA evaluations of intrusion detection systems, network attacks have evolved considerably. In particular, after the CodeRed worm of 2001, the volume and sophistication of selfpropagating malicious code threats have been increasing at an alarming rate. Many anomaly detectors have been proposed, especially in the past few years, to combat these new and emerging netwo...
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: Industrial and Systems Engineering Review
سال: 2019
ISSN: 2329-0188
DOI: 10.37266/iser.2018v6i2.pp88-94