INF-553 – Fall 2018

This page contains additional material for the USC’s INF 553/CSCI 541 – Foundations and Applications of Data Mining (Fall 2018) course.  A complete list of materials, assignments, and course information is available on blackboard (https://blackboard.usc.edu).

Lecture Slides

  L01 – Foundations and Applications of Data Mining (Aug 24)
  L02
Introduction to MapReduce (cont.) (Aug 31)
  L09 Clustering (Oct 19)
  L10 
Mining Social Network Graphs (Oct 26)
  L11 
Mining Social Network Graphs (Overlapping Communities) (Nov 2)
  L12 
Web Advertising (Nov 9)
  L13
Mining Data Streams (Nov 16)

Example Programs

Project Reports

 Agenda Endorsement System
A. Premkumar, P. Muralidharan, R. Malla,  S. Ravishankar

A Comparison of Graph-Based Recommendation System with Classical Recommendation Methods
A. Rawat, A. Rajendran, R. Chugh, Z. Xu

Recommendations for Restaurant Improvement using Random Walk Based Opinion Mining
E. Rita, S. Venkatesh, S. Raviillu

Las Vegas Business Closure Prediction Model
X. Chen, Y. Fei, Y. Wang, F. Zhang

Comparison of Clustering Methods using YELP dataset
A. Nagpal, A. Ordabekov

Yelp Recommendation System via User’s Personality and Sentiment Analysis in Reviews
R. Shao, D. Huang, K. Wang, X. Tao

Predicting Restaurant Health using Yelp data and Government Inspections
A. Anand, D. Purohit, R. Kaur, R. Goomer

Recommending the Target Audience to Businesses
D. Ramnani, P. Vaghani, S. Parikh, V. 
Thakkar, K. Mehta

Friend Suggestions to Yelp Users based on Similar Interest
M. Shivarudrappa, S. Srinivasa, S. G. Sheshadri, V. P. Vijayakumar

Black Box of Businesses
S. T. Chava, S. B. S. Venkata, D. Devaraj

Recommender System with Advanced ratings
J. C. Menchavez, V. 
Garg, N. Yadav

Hybrid Recommender System: Recommending Restaurants to Users
D. Ghoghari, L. Kejriwal, R. Kumar

Predicting the most profitable area a new/existing business can expand to
A. Chavan, L. Dharmapuri, V. S. P. Nallamalli, T. Joshi

Recommendation System with Aspect-Based Sentiment Analysis
Q. Du, D. Zhu, W. Duan

Where should I go for Breakfast/Lunch/Dinner?
Z. Xie, Y. Zhu, X. Shen, Y. Wang

Tinder Eats: Bring people and food together!
A. Adiga, A. Narang, A. Mohan

 Predicting the Success of New, Upcoming Restaurants
V. Chenna, S. Deviah, K. Mukherjee, R. Rayala

 Yelp Recommendation Based on Aggregated Ratings from Sentiment and Stars
J. Lee, D. Goodfellow, T. Do

Smart Recommender
P. Govindappa, S. Udeda, V. Selvaraj, L. Zhang

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