All Questions
Tagged with anomaly-detectionpython
73 questions
0votes
0answers
12views
Anomaly detection time in time-series for drops
I am looking into different statistical methods for determining a decrease in a numeric "count" feature across a time-series dataset. The dataset is relatively small (about 50 records), and ...
- 85
3votes
1answer
37views
Confirm understanding of decision_function in Isolation Forest sklearn
I am looking to better understand sklearn IsolationForest decision_function. My understanding is that if the metric is closer to -1 then the model is more confident ...
- 85
0votes
0answers
27views
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
0votes
0answers
31views
Statistical Approach for Anomaly Detection in Multivariate time series
I'm working on an anomaly detection problem for motor experiments 9same type of motor) and need advice on statistical approaches (No ML since I do no not have enough data). Here's the context: Dataset:...
0votes
0answers
27views
Determine unusual occurrence of words in classes
I am working on a project where I have 20+ classes/groups. Each of these groups perform certain text searches. I am looking for specific keywords example 'code' which is an anomaly. The challenge is ...
0votes
1answer
75views
detecting abnormality in a specific feature with respect to others (unsupervised?)
I have a large dataset with a feature y which is dependent in part on features x1 and x2. All features are noisy, and y is also dependent on other parameters not captured in the dataset. I would like ...
0votes
2answers
493views
Time Series - Anomaly Detection
I have time-series data with alerts (every minute) that I need to find anomalies in. I am looking for a library which can do unsupervised learning of this data and detect anomalies in the data. Which ...
0votes
0answers
30views
Handling features dependent on a data field that may not be present in sample
I'm trying to build an anomaly detection model using Isolation Forest. I currently have 12 features, about half of them depends on the presence of a particular data field, say ...
- 131
0votes
0answers
111views
Understanding Isolation Forest predictions
I'm running sklearn's IsolationForest on a dataset containing 2 classes of data, one that I know is the anomaly (~1.5% of the entire dataset), the other is the normal dataset. I'm using this (shuffled)...
- 131
1vote
0answers
32views
Multiple Timeseries Anomaly Detection - identifying which feature is anomalous?
I have a multivariate time series where I have features such as: temperature set point energy used relative humidity, etc. Currently, I'm creating univariate anomaly detection models in Python using ...
2votes
1answer
2kviews
Can one use PCA to reduce the dimensionality of One-Hot-Encoded data?
I read a couple times that PCA was used as a method to reduce dimensionality for one-hot-encoded data. However, there were also some comments that using PCA is not a good idea since one-hot-encoded ...
0votes
0answers
48views
Anomaly Detection in Discrete Sequences
So, I have a set of discrete sequences, let's say, composed by letters, representing a certain action: A -> B -> C -> D B -> E -> A -> C ... My ...
0votes
1answer
608views
How to gps data anomaly detection in python
I have gps format dataset lat, lon. I want to detection anomaly using python. I tested knn, smv, cof, iforest using pycaret. But i did not. These colors anomlay because the angle change is too much ...
1vote
1answer
345views
Anomaly detection and replacing it with past values in time series
I am trying to use anomaly detection to find the anomalies in my time series, and if I find it, I will replace it with my past values. I'm trying to do this because I want to create an upper and lower ...
1vote
0answers
146views
How to evaluate unsupervised Anomaly Detection using k-means
I'm trying out different anomaly detection models and would love to hear opinion on my idea from somebody experienced. My goal is to perform anomaly detection with different models and to give each ...
- 121
