Hidden Markov models for the activity profile of terrorist groups
نویسندگان
چکیده
منابع مشابه
Hidden Markov Models for the Activity Profile of Terrorist Groups
The main focus of this work is on developing models for the activity profile of a terrorist group, detecting sudden spurts and downfalls in this profile, and, in general, tracking it over a period of time. Toward this goal, a d-state hidden Markov model (HMM) that captures the latent states underlying the dynamics of the group and thus its activity profile is developed. The simplest setting of ...
متن کاملProfile hidden Markov models
The recent literature on profile hidden Markov model (profile HMM) methods and software is reviewed. Profile HMMs turn a multiple sequence alignment into a position-specific scoring system suitable for searching databases for remotely homologous sequences. Profile HMM analyses complement standard pairwise comparison methods for large-scale sequence analysis. Several software implementations and...
متن کاملCharacterizing activity sequences using profile Hidden Markov Models
In literature, activity sequences, generated from activity-travel diaries, have been analyzed and classified into clusters based on the composition and ordering of the activities using Sequence Alignment Methods (SAM). However, using these methods, only the frequent activities in each cluster are extracted and qualitatively described; the infrequent activities and their related travel episodes ...
متن کاملProfile Modeling with Hidden Markov Models Summary
The “fundamental” states N in a Hidden Markov Model are (especially in bioinformatics) usually called match states. Sequences formed with symbols of a finite alphabet E are the observations on which the HMM will be based. Two different stochastic processes operate on the state set: one process moves from one state to another, and the second process controls the emission of symbols of E with pro...
متن کاملLocating Hidden Groups in Communication Networks Using Hidden Markov Models
A communication network is a collection of social groups that communicate via an underlying communication medium (for example newsgroups over the Internet). In such a network, a hidden group may try to camoflauge its communications amongst the typical communications of the network. We study the task of detecting such hidden groups given only the history of the communications for the entire comm...
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: The Annals of Applied Statistics
سال: 2013
ISSN: 1932-6157
DOI: 10.1214/13-aoas682