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Fake Detection

Fake Detection

Algorithm
Classifier
Use Cases
Fake Profile Detection, Fraud Detection, Strange Behaviour Detection

Prerequisites

Before you start using our Recommender algorithm, ensure you’ve:
  1. Created a schema
  1. Integrated code to process your data and installed Begin’s Android SDK
  1. Created a project with the objective “Fake Detection”
Learning usually takes about 30 minutes. Once complete, your machine learning algorithm is ready to be used on your mobile device, browser, connected vehicles, or server applications.

Procedure

In order to infer a fake user/object, follow the initialization step:
import ai.begin.android.core.BeginWorker;

BeginWorker beginWorker = new BeginWorker("APP_ID", "LICENSE_KEY", getApplicationContext());
To detect a fake user account, make the following call: 
BeginWorker.getInstance().fakeDetect("project_id", "target_id", new ResponseInterface() {
            @Override
            public void success(JsonElement obj) {
                Log.d("Begin API Response", obj.toString());
            }

            @Override
            public void error(Object obj) {
                Log.d("Begin API Response", obj.toString());
            }
        });
This will return the confidence score to which a user/object is fake
 
If you performed the initial processing in Python, you can still use the algorithm with other SDKs like Android or iOS SDKs.