In this paper I will be reviewing and evaluating the work of Johan Ugander and Jon Kleinberg (both from Cornell University) and Brian Karrer and Lars Backstrom (both from Facebook), entitled _Graph Cluster Randomization: Network Exposure to Multiple Universes_, presented at the 2013 International Conference of Knowledge DIscovery and Data Mining. After a brief summary of the paper and its findings, I present the author's background and related previous work - to find that graph cluster randomization proves to be a truly useful method for social networks and has a wide array of future applicability. Subsequenlty I conduct a brief overview of related work and possible improvements, followed by my personal reflections and suggested future work pathways. I finish with a brief conclusion.

In this paper I will be reviewing and evaluating the work of Simona D'Oca and Tianzhen Hong of the Lawrence Berkeley National Laboratory, entitled _Occupancy Schedules Learning Process Through a Data Mining Framework_, published in the Journal of Energy and Buildings in February 2015. After a brief summary of the paper and its findings, I present the author's background and related previous work - to find that their results are hard to interpret quantitatively, but potentially can be useful for qualitative workspace improvement. Subsequenlty I conduct a brief overview of related work and possible improvements, followed by my personal reflections and suggested future work pathways. I finish with a brief conclusion.

In this paper I will be reviewing and evaluating the work of Zhiyuan Chen and Bing Liu of the University of Chicago, entitled _Mining Topics in Documents: Standing on the Shoulders of Big Data_, presented at the 2014 Conference of Knowledge Discovery and Data Mining. After a brief summary of the paper and its findings, I present the author's background and related previous work - to find that they have pioneered transfer-learning models for topic mining. Subsequenlty I conduct a brief overview of related work and possible improvements, followed by my personal reflections and suggested future work pathways. I finish with a brief conclusion.

LIVE WORKBOOK Virtual Machine Specifications: 2 Ghz, 2 cores 2 GB RAM Automatically shuts down after 5 minutes of inactivity.

DISCUSS THE OVERALL PROBLEM AND DECOMPOSE INTO SUB PROBLEMS OR CHALLENGES WHICH WILL SUBSEQUENTLY BE THE TOPICS OF THE FINAL PROJECT