-
Notifications
You must be signed in to change notification settings - Fork 1
/
Copy pathmcs203-2019.html
308 lines (266 loc) · 13.4 KB
/
mcs203-2019.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
<!DOCTYPE html>
<html lang="en">
<head>
<!-- SITE TITTLE -->
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Vasudha Bhatnagar</title>
<!-- PLUGINS CSS STYLE -->
<!-- Bootstrap -->
<link href="plugins/bootstrap/css/bootstrap.min.css" rel="stylesheet">
<!-- Themefisher Font -->
<link href="plugins/themefisher-font/style.css" rel="stylesheet">
<!-- Font Awesome -->
<link href="plugins/font-awsome/css/font-awesome.min.css" rel="stylesheet">
<!-- Magnific Popup -->
<link href="plugins/magnific-popup/magnific-popup.css" rel="stylesheet">
<!-- Slick Carousel -->
<link href="plugins/slick/slick.css" rel="stylesheet">
<link href="plugins/slick/slick-theme.css" rel="stylesheet">
<!-- CUSTOM CSS -->
<link href="css/style.css" rel="stylesheet">
<!-- FAVICON -->
<link href="images/favicon.png" rel="shortcut icon">
</head>
<body class="body-wrapper">
<!--========================================
= Navigation Section =
=========================================-->
<nav class="navbar main-nav border-less fixed-top navbar-expand-lg p-0">
<div class="container-fluid p-0">
<!-- logo -->
<a class="navbar-brand" href="index.html">
<h4><span class="alternate"style="font-weight: bold">Vasudha Bhatnagar</span></h4>
<h6>Professor</h6>
</a>
<button class="navbar-toggler" type="button" data-toggle="collapse" data-target="#navbarNav" aria-controls="navbarNav" aria-expanded="false" aria-label="Toggle navigation">
<span class="fa fa-bars"></span>
</button>
<div class="collapse navbar-collapse" id="navbarNav">
<ul class="navbar-nav mx-auto">
<li class="nav-item">
<a class="nav-link" href="index.html">Home
</a>
</li>
<li class="nav-item active">
<a class="nav-link" href="teaching.html">Teaching
</a>
</li>
<li class="nav-item">
<a class="nav-link" href="research.html">Research
</a>
</li>
<li class="nav-item">
<a class="nav-link" href="publications.html">Publications
</a>
</li>
<li class="nav-item">
<a class="nav-link" href="outreach.html">Outreach
</a>
</li>
<li class="nav-item">
<a class="nav-link" href="nslab/index.html" target="_blank">Network Science Lab
</a>
</li>
</ul>
</div>
</div>
</nav>
<!--==== End of Navigation Section ====-->
<!--================================
= Page Title =
=================================-->
<!--==== End of Page Title ====-->
<!--==============================
= Schedule =
===============================-->
<section class="section schedule">
<div class="container">
<div class="row">
<div class="col-12">
<div class="section-title"><br><br><br><br>
<h3><span class="alternate"> MCS 203 (Jan - May 2019) Data Mining</span></h3>
</div>
</div>
</div>
<div class="row">
<div class="col-12">
<div class="description-one">
<li type="none">Data has been accumulating throughout the computer age in many forms, including database systems, spreadsheets, text files, and recently web pages. Data mining aims to search through data for hidden relationships and patterns. It has application potential in both commercial and scientific domains. Data Mining has emerged as a field of inter-disciplinary studies in Computer Science. <br><br>
This is an introductory course on Data Mining. This is a 4 credit course (3-0-2), requiring intensive programming. Pre-requisites for this course are good understanding of statistics, C++ programming on Linux, and good practice of using and designing complex data structures.</li>
<br><br>
<h4>Text Book :</h4> <br>
<ol>
<li> Data Mining and Analysis: Fundamental Concepts and Algorithms : Zaki, Mohammed J., and Wagner Meira Jr., (Cambridge University Press, 2014) [Click <a href="http://www.cs.rpi.edu/~zaki/PaperDir/DMABOOK.pdf" style="text-decoration: none;color:cornflowerblue" target="_blank">here</a> to download draft copy of the book]</li>
</ol>
<br><br>
<h4>Reference Books :</h4><br>
<ol>
<li> Introduction to Data Mining: Tan, Stienbach and Vipin Kumar, (Pearson Education 2010)</li><br>
<li> Data Mining: Concepts and Techniques, Han and Kamber (Morgan Koffmann, 2010)</li><br>
<li> Principles of Data Mining, David J. Hand, Heikki Mannila and Padhraic Smyth(PHI)</li><br>
</ol>
<br>
<h4>Course Plan</h4> <br>
<div class="schedule-contents bg-schedule">
<div class="tab-content" id="pills-tabContent">
<div class="tab-pane fade show active schedule-item">
<!-- Headings -->
<ul class="m-0 p-0">
<li class="headings">
<div class="speaker">Week</div>
<div class="subject">Topics from text book</div>
</li>
<!-- Schedule Details -->
<li class="schedule-details">
<div class="block">
<!-- Speaker -->
<div class="speaker">1</div>
<!-- Subject -->
<div class="subject">Chapter 1</div>
</div>
</li>
<li class="schedule-details">
<div class="block">
<!-- Speaker -->
<div class="speaker">2 - 7</div>
<!-- Subject -->
<div class="subject">Clustering Algorithms: Hierarchical clustering (Chapter 14), Partition based - K means and Expectation-Maximization (Chapter 13), Kernal trick (Chap 5), Density based clustering -Dbscan (Chapter 15), Cluster validation</div>
</div>
</li>
<li class="schedule-details">
<div class="block">
<!-- Speaker -->
<div class="speaker">8 - 12</div>
<!-- Subject -->
<div class="subject">Supervised Learning: Bayes Classification, KNN classifier (Chapter 18), Decision Tree (Chapter 19), Evaluation of classifiers (Chapter 22)</div>
</div>
</li>
<li class="schedule-details">
<div class="block">
<!-- Speaker -->
<div class="speaker">13 - 15</div>
<!-- Subject -->
<div class="subject">Frequent item-set Mining (Chapter 8)</div>
</div>
</li>
</ul>
</div>
</div>
</div> <br>
<h4>Lab Work</h4> <br>
<div class="schedule-contents bg-schedule">
<div class="tab-content" id="pills-tabContent">
<div class="tab-pane fade show active schedule-item">
<!-- Headings -->
<ul class="m-0 p-0">
<li class="headings">
<div class="time">Week</div>
<div class="subject">Tasks</div>  
<div class="time">Remarks</div>
</li>
<!-- Schedule Details -->
<li class="schedule-details">
<div class="block">
<!-- week -->
<div class="time">1 - 3</div>
<!-- tasks -->
<div class="subject">Download and install Weka. Familiarize yourself with Weka. Explore data using Weka. Learn to use attribute filters for discretization, etc. Practice use of filters</div>   
<!-- remarks -->
<div class="time">Click <a href="https://www.cs.waikato.ac.nz/ml/weka/downloading.html" style="text-decoration: none;color:cornflowerblue" target="_blank">here</a> for Weka</div>
</div>
</li>
<li class="schedule-details">
<div class="block">
<!-- week -->
<div class="time">4</div>
<!-- tasks -->
<div class="subject">Introduction to R, Visualization in R</div>   
<!-- remarks -->
<div class="time">Click <a href="https://www.r-project.org/" style="text-decoration: none;color:cornflowerblue" target="_blank">here</a> to download R</div>
</div>
</li>
<li class="schedule-details">
<div class="block">
<!-- week -->
<div class="time">4 - 6</div>
<!-- tasks -->
<div class="subject">Start working on the project</div>   
<!-- remarks -->
<div class="time">Exploratory data analysis</div>
</div>
</li>
<li class="schedule-details">
<div class="block">
<!-- week -->
<div class="time">7 - 14</div>
<!-- tasks -->
<div class="subject">Project work</div>   
<!-- remarks -->
<div class="time">Submit report by 15 Apr 2019</div>
</div>
</li>
</ul>
</div>
</div>
</div>
<p>30 marks are for internal assessment.<br><br> Breakup is : <br> 10 marks - Minor 1, as per schedule displayed on the notice board. <br> 15 marks - Project <br>05 marks - Assignments</p> <br><br>
<h4>Project :</h4><br>
<p>You have to work in groups of four. Diversity in group will bring advantage.
<br>Visit open data portal of Government of India <a href="https://data.gov.in/" style="text-decoration: none;color:cornflowerblue" target="_blank">data.gov.in </a>. Choose a sector of your interest. Study the available data sets for the sector.</p><br>
<ol>
<li> Write a one page project proposal mentioning: Sector, Data sets intended to be used, Business questions that can be answered, Broad data mining techniques may be used to answer the questions. Submit the hard copy (single page) by 31st January 2019. </li><br>
<li> Explore datasets, write preliminary observations about the data quality, re-examine the business question and revise if required. Liberally use visualization techniques to prove your point. Ensure that the visualizations are meaningful and have appropriate legends, captions etc. Submit the soft copy of the report by 15th February 2019. No page limit.</li><br>
<li> Submit detailed report of the observed patterns in data. Clearly write the data mining technique used, algorithm used, reason for selecting the algorithm, pre-processing done. How do the observed patterns answer your business questions? Submit the soft copy of the report by 15th April 2019. No page limit.</li><br>
</ol>
<br>
<p>Syllabus for Minor 1: TBA</p>
</div>
</div>
</div>
</div>
</section>
<!--==== End of Schedule ====-->
<!--============================
= Footer =
=============================-->
<!-- Subfooter -->
<footer class="subfooter">
<div class="container">
<div class="row">
<div class="col-md-6 align-self-center">
<div class="copyright-text">
<p>2019 All Right Reserved</p>
</div>
</div>
<div class="col-md-6">
<a href="#" class="to-top"><i class="fa fa-angle-up"></i></a>
</div>
</div>
</div>
</footer>
<!-- JAVASCRIPTS -->
<!-- jQuey -->
<script src="plugins/jquery/jquery.js"></script>
<!-- Popper js -->
<script src="plugins/popper/popper.min.js"></script>
<!-- Bootstrap 4 -->
<script src="plugins/bootstrap/js/bootstrap.min.js"></script>
<!-- Smooth Scroll -->
<script src="plugins/smoothscroll/SmoothScroll.min.js"></script>
<!-- Isotope -->
<script src="plugins/isotope/mixitup.min.js"></script>
<!-- Magnific Popup -->
<script src="plugins/magnific-popup/jquery.magnific-popup.min.js"></script>
<!-- Slick Carousel -->
<script src="plugins/slick/slick.min.js"></script>
<!-- SyoTimer -->
<script src="plugins/syotimer/jquery.syotimer.min.js"></script>
<!-- Google Mapl -->
<script src="https://maps.googleapis.com/maps/api/js?key=AIzaSyCC72vZw-6tGqFyRhhg5CkF2fqfILn2Tsw"></script>
<script type="text/javascript" src="plugins/google-map/gmap.js"></script>
<!-- Custom Script -->
<script src="js/custom.js"></script>
</body>
</html>