Questions tagged [anomaly]
The anomaly tag has no summary.
24 questions
0 votes
0 answers
55 views
Are there any libraries for generating synthetic anomalies in timeseries data in python?
I'm working on anomaly detection in timeseries data, and need to add synthetic anomalies to existing timeseries data (in order to test anomaly detection algorithms). I can do this by running a ...
- 101
0 votes
2 answers
693 views
How to detect and predict sensor faults and failures (for weather stations to be specific)?
Need help. Especially those knowledgeable in weather systems/meteorology. Best approach in detecting and predicting faulty weather sensors and their failures based on their readings alone? I'm doing a ...
- 1
0 votes
1 answer
442 views
Anomaly Detection: Large number of categories
Looking for some advice. I am working on an Anomaly detection problem, I am looking at parcels being transported from A-B and want to identify which parcels are considered anomalies for given routes. ...
- 1
0 votes
0 answers
44 views
Varying feature vector lengths for learning
[I am a total beginner in machine learning algorithms] I have 10 spectrograms (lines) for phytoplankton (each composed of 288 points). Each spectrogram is associated with a phytoplankton dendity data ...
- 1
1 vote
1 answer
34 views
How to find an anomalous matrix among many?
Let's say we have a bunch of matrices that we know are non-anomalous. We now receive a new matrix and want to know if it belongs into the group or is way off. Is there a way to do that? I'm thinking ...
0 votes
0 answers
37 views
What type of Anomaly Detection Model could I use?
I would like to create an anomaly detection model that assigns a probability of risk instead of labels (1 or 0). My problem is that I only know for sure which records are anomalous but not which are ...
0 votes
1 answer
93 views
Assign a risk score in records in a dataset
I was wondering, if I have a dataset with categorical and numerical data and labels such as 1 or 0 that shows if a row is anomalous or normal respectively. Is it possible to create somehow a model ...
0 votes
1 answer
176 views
Anomaly Detection Techniques
Often the hardest part of solving an Anomaly Detection problem can be finding the right technique for the job. Different Anomaly techniques are better suited for different types of data and different ...
- 4,323
1 vote
1 answer
166 views
How to detect anomalies in each feature - time series
I have a dataset with 5 features corresponding to 5 sensors that measure each three seconds the state of an accelerator. It is structured as well: ...
- 53
1 vote
2 answers
188 views
How do I determine the top "reason" for anomaly when using Isolation Forests
I am using Isolation Forests for Anomaly Detection. Say, my set has 10 variables, var1, var2, ..., var10, and I found an anomaly. Can I rank the 10 variables var1, var2, ..., var10 in such a way I can ...
- 2,043
0 votes
1 answer
72 views
which statistical parameters are more useful to detect anomalies and outlier? mean max min var?
This time series contains some time frame which each of them are 8K (frequencies)*151 (time samples) in 0.5 sec [overall 1.2288 millions samples per half a second) I need to find anomalous based on ...
- 1,906
0 votes
0 answers
446 views
How is convex hull method used in outlier detection?
I think the slides are bit unclear on what they want to say. Can someone elaborate this with example.
- 177
3 votes
1 answer
131 views
How to test unsupervised learning methods for anomaly detection?
How to test unsupervised learning methods for anomaly detection? I am looking for a test strategy to evaluate my result of my anomaly detection technique? what is your offer more than evaluate with ...
- 1,906
1 vote
1 answer
165 views
Practical problems in anomaly detection where the number of normal data is extremely high compared to abnormal data
If the ratio of abnormal data is about 1 to 10,000 normal data, even if the true negative rate is 99%, there will be 100 false positive data, and the precision( TP/(TP+FP) ) will be low. If this kind ...
- 111
3 votes
1 answer
302 views
How to determine the abnormality of a specific variable by taking into account all the other variables in the data?
I have an issue of machine learning/anomaly detection. Indeed, I have a variable Y and several other variables X. The purpose is to quantify the degree of abnormality of the data on Y but I have to ...
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