COM 451 Data Mining Project Topics and Grading Policy
The contribution of the Term Project in overall scoring is 20%.
Date of Presentation: 18/12/2014
STUDENT
YASEMIN KARAMAN
FEYZA GALIP
ILHAM GÜLTEKIN
SELIME ÖZAKTAS
MEHMET ALI TEPELI
ESRA PAKSOY
NURAIYM
ABDYRAKHMANOVA
8 SAID ABDULLAHI SAID
KASSIM
9 FATOUMATA BOCOUM
10 MEHMET BÜLBÜL
1
2
3
4
5
6
7
TOPIC
Orange Data Mining tool
To detect pedestrians by using laser scanners
Privacy Preserving in Data Mining
Kalp hastaligi teshisi
Weka
Simple Crawling with Apache Nutch
The use of data mining and neural networks
for forecasting stock market returns
Indexing and Searching Big Data using Apache Solr and Hadoop
Oracle Data Mining tool
Introduction to Hadoop
Date of Presentation: 25/12/2014
1
2
3
4
STUDENT
KAAN KÜÇÜK
ÖZGE KARANACAK
NERIMAN BÜYÜKTARAKCI
ERMEK SABYRZHANOV
5 RÜVEYDA HILAL INAN
6 BURAK ÇOLAK
7 ISIL AKAR
8 MELDA AKCAN
9 SAAD MAJIDU KULUMBA
10 YUSUF SAIT ERDEM
TOPIC
Collaborative Filtering
Rapid Miner Studio
Distributed Data Mining and Mining Multi-Agent Data
Introduction to Natural Language Processing.
Analysis of k-means and single-linkage (hierarchical) clustering
algorithms with examples.
Wikipedia Analysis
Analyzing data using Rapid Miner, Weka and R. Comparision of these
tools.
Knime
Present about Hadoop and map reduce. How to use to manipulate
data.
Sinyal kaynağından, zaman serisi şeklinde alınan verilerin, normalize
edilmiş çapraz korelasyonla, yeni gelen verilerde aranması. Benzerlik
oranlarının bulunması.
The grading policy of the Term project:

Presentation: 50%
o Introduction to problem/topic/tool (10%).
o Related work (10%), e.g.: what is classification, what is n-fold cross validation, etc.
o Details of the project task (15%): e.g.: specific information about the used/proposed
solution, details of the performed task, satisfactory information about the tool, live
demonstration of the studied tool, details of the studied algorithm, etc.
o The conclusion section (5%): Presenting results of the work. References.
o Ability to answer questions (10%).

Documentation: 50% (Prepared in MS Word file and submitted via email by 30/12/2014 23:59)
o Introduction (10%)
o Related work (10%)
o Details of the project task (20%)
o Conclusion (5%)
o References (5%)
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COM 451 Data Mining Project Topics and Grading Policy The