INF 553: Foundations and Applications of Data Mining

Fall 2018

Lecture Slides

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 (

Example Programs

Example of Python-based programs using Jupyter Notebooks for supporting the lecture slides

Project Reports

   Agenda Endorsement System

A. Premkumar, P. Muralidharan, R. Malla, S. Ravishankar

   Las Vegas Business Closure Prediction Model

X. Chen, Y. Fei, Y. Wang, F. Zhang

   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

   Predicting the most profitable area a new/existing business can expand to

A. Chavan, L. Dharmapuri, V. S. P. Nallamalli, T. Joshi

   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

   Smart Recommender

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