• The code of all the experiments can be found in the folder exp-code.

• All the opensource data can be found in the folder opensource-data.

• A well complied database IoTDB is given in the folder apache-iotdb-0.13.3-all-bin, which is built from the source code of LSMOD.

• The main code of our proposal LSMOD can be found in DoddsExecutor.

1. Compile the time series database IoTDB by the following command. There is also a well compiled database in the folder apache-iotdb-0.13.3-all-bin.

mvn clean package -DskipTests -Dcheckstyle.skip=True

2. Start the server and the client. Detailed steps can be found in the online documentation.

3. Load the dataset TAO-OceanGraphic by executing the following commands in the client.

LOAD '../../opensource-data/root.tao/1/'

4. Process distance-based outlier query.

SELECT DODDS(s9, 'r'='15', 'k'='50', 'w'='1200000', 's'='600000') from root.tao.d0

Note: For UCI-Gas and UCI-PAMAP2, the bucket_width could be easily set by 'g' = '0.1' in the query for convenience. You can also set the bucket width in the configuration of the database.