Apply the anomaly detection algorithms that found as group in Rapidminer
$250-750 USD
Paid on delivery
We want to apply a group of anomaly detection algorithms that found as group in rapid miner Extension .
The Anomaly Detection Extension for RapidMiner comprises the most well know unsupervised anomaly detection algorithms, assigning individual anomaly scores to data rows of example sets. It allows you to find data, which is significantly different from the normal, without the need for the data being labeled. Some of the algorithms are:
* Local Outlier Factor (LOF)
* k-NN Global Anomaly Score
* Connectivity-based Outlier Factor (COF)
* Local Correlation Integral (LOCI)
* Local Outlier Probability (LoOP)
* Cluster-based Local Outlier Factor (CBLOF)
Installation instructions:
In RapidMiner, go to Help-> Updates and Extensions (Marketplace) and search for "anomaly detection" and click on "Install"
The aiming is to detect the anomaly values in a specific data set and apply all of the previous prediction algorithms to determine which the best algorithm in the prediction process.
Desired Skills
Big Data, Data Mining, Data Analytics, Rapid Miner
Project ID: #8019255
About the project
4 freelancers are bidding on average $555 for this job
Hi, I have done several projects using Rapid Miner. Here, I can apply anomaly detection algorithms on given data set. I have already installed RapidMiner anomaly detection extension. What I can provide you as pe More
Hi Presently working as research engineer in admobile netwok company. We are using anomoly detection techniques in fraud detection.
Hi i am Prabhakar and I working as data Scientist in RainMan Analytic Company. I have experionce more than 3 Years. I have done Master in Statistics. I know SAS and R software for any kind of analytics tools like time More