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Adding result diversification to kNN-based joins in a Map-Reduce framework

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P-BRID and SP-BRID result diversification algorithms in a Map-Reduce framework

This repository contains the source code to the implementation reported in the manuscript Adding result diversification to kNN-based joins in a Map-Reduce framework, submitted to the 34th DEXA conference.

Experiment setup

The implementations of both P-BRID and SP-BRID algorithms can be found inside the src folder. The code is implemented in Java version 1.8.0_202 with the Java Development Kit (JDK) version 8.

The experiments were executed in our local cluster, a QLustar server with two nodes, each with 48 AMD Opteron 2.2GHz hyper-thread cores, 94GB of RAM, a 1 TB SATA hard drive and a dedicated JVM process reserved for the experiments in a pseudo distributed environment in Apache Hadoop.

Datasets

The datasets used in experiments is described as follows.

Dataset Description Available at
CITIES Coordinates of US cities. https://public.opendatasoft.com/explore/dataset/us-cities-demographics/
NASA Low-level features from satellite images. http://www.sisap.org/dbs.html
GAUSS Synthetic iid dimensions (Standard distribution). ---
UNIFORM Synthetic iid dimensions (Uniform distribution). ---
MNIST Handwritten digits. http://yann.lecun.com/exdb/mnist/
ALOI 3D color model images. https://aloi.science.uva.nl/
COLORS Low-level features from color photos. http://www.sisap.org/dbs.html
SIFT SIFT features from images. http://corpus-texmex.irisa.fr/

Notes

(C) THIS SOFTWARE IS PROVIDED ``AS IS'' AND ANY EXPRESSED OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHORS OF THIS SOFTWARE OR ITS CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

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Adding result diversification to kNN-based joins in a Map-Reduce framework

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