Using DFT for detecting the period-3 patterns
Detecting Erroneous Sentences using Automatically Mined Sequential Patterns
... = < a, f >→ E with support 66.7% and confidence 66.7%. p 1 is a better indication of class E than p 2 . 2 Generating Sequence Database. We generate the database by applying Part-Of-Speech ( POS ) tagger to tag each ...
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Detecting coherent patterns in a flume by using PIV and IR imaging techniques
... It is noteworthy, that the spacing of the velocity deriva- tives does not represent the low-speed streak spacing, since the velocity fields were measured at quite large wall normal distance from the wall. The expansion ...
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Detecting semi plausible response patterns
... response patterns prior to the actual analysis of the model and has the advantage that no further factors need to be introduced into the ...model. Using this method, it is crucial to identify possible ...
224
Detecting patterns of fraudulent behavior in forensic accounting *
... by using inexpensive, simple rule-based systems, customer profiling, statistical techniques, neural networks, fuzzy logic and genetic algorithms ...transaction patterns from ordinary or dis- tributed ...
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Detecting Patterns of Fraudulent Behavior in Forensic Accounting
... by using inexpensive, simple rule-based systems, customer profiling, statistical techniques, neural networks, fuzzy logic and genetic algorithms ...transaction patterns from ordinary or distributed ...
8
Detecting Global Motion Patterns in Complex Videos
... terns using only the global motion flow field, instead of long-term trajectories of moving ...first using the existing optical flow methods to compute the optical flow vectors in each frame, and then com- ...
5
Detecting Dominant Motion Patterns in Crowds of Pedestrians
... is synonymous to edges in the images. But their approach is complex and computationally expensive and cannot detect small flows related to small group of pedestrians. [2] used sparse SIFT features to extract motion ...
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Detecting causality from online psychiatric texts using inter-sentential language patterns
... Background Online community-based services such as web forums, message boards, and blogs provide an efficient and ef- fective way for sharing information and gathering know- ledge [1-3]. In the field of mental ...
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A Novel Approach for Detecting Suspicious Accounts in Money Laundering using Frequent Patterns and Graphs
... equipped with highly intelligent and driven software solutions. This includes cash depositing, Printing passbooks, cheque book requisitions, cash withdrawing and many more which doesn't need any human interface. Even ...
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Detecting Design Patterns in Object Oriented Program Source Code by Using Metrics and Machine Learning
... similar patterns and detecting variety of pattern applications, as mentioned above; or at least, this technique and our technique are expected to pose different detection ...
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Detecting regional variation using meta-analysis and large-scale sampling: latitudinal patterns in recruitment
... of using small-scale investiga- tions to detect regional patterns is the noise in the data due to differences in methods among published ...(Tables 3–5), but this is un- likely to be generally true, ...
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ElectionWatch: Detecting Patterns in News Coverage of US Elections
... elections, using the New York Times corpus as well as our own ...plot using the first two eigenvalues of the adjacency matrix, which seems to capture the main groupings in the politi- cal ...
5
Detecting Activation Patterns for Working Memory Task: A Study
... are using fMRI technology in understanding the function and the activity of the brain, because fMRI is a non-invasive powerful ...by detecting the changes in the blood oxygenation and flow that occur in ...
8
Graph based classification for detecting instances of bug patterns
... The paper by Errica F. et al. [27] introduces this novel approach. The model is randomly initialized and then trained one layer at a time. At level one, the hidden states are assigned without con- sidering any context, ...
81
Detecting fixed patterns in chordal graphs in polynomial time.
... a path between s i and t i using only vertices from U i , for i = 1, . . . , k? Note that the domains U 1 , . . . , U k are not necessarily pairwise disjoint. If we let every domain contain all vertices of G, we ...
21
ATTACK PATTERNS FOR DETECTING AND PREVENTING DDOS AND REPLAY ATTACKS
... Packet Marking method make a distinction between the genuine packets and the attack packets. The IP addresses are spoofed to make the attacker hide his identity. Packet Marking Method is used to recognize the replayed ...
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Detecting exploit patterns from network packet streams
... convergence times. The use of gossip-based protocols for data dissemination and aggregation in distributed systems was first proposed by Demers et al. [44]. We consider the problem of identifying frequent items in a ...
142
ATTACK PATTERNS FOR DETECTING AND PREVENTING DDOS AND REPLAY ATTACKS
... Packet Marking method make a distinction between the genuine packets and the attack packets. The IP addresses are spoofed to make the attacker hide his identity. Packet Marking Method is used to recognize the replayed ...
10
Detecting VoIP Traffic Based on Human Conversation Patterns
... In addition, based on the conversation pattern, we derive other features for each training flow, as shown in Table 3. We compute the mean and standard deviation of the period that party A (resp. B) speaks ...
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Detecting Falls as Novelties in Acceleration Patterns Acquired with Smartphones
... Abstract Despite being a major public health problem, falls in the elderly cannot be detected efficiently yet. Many studies have used acceleration as the main input to discriminate between falls and activities of daily ...
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