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

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

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