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--- lectures [2014/11/09 21:52] – nick
+++ lectures [2014/11/27 17:40] (current) – nick
@@ Line 24: / Line 24: @@
   * {{:lecture_16b.pdf|Lecture 16 - Recommendation Systems: Collaborative Filtering}}\\
   * {{:lecture_16othera.pdf|Lecture 16 other - Recommendation Systems videos}}\\
-  * {{|Lecture 17 Graph Mining, Social Network Analysis (Vincent Chu & Darren Rolfe)}}\\
+  * {{:slides.pdf|Lecture 17 Graph Mining, Social Network Analysis (Vincent Chu & Darren Rolfe)}}\\
-  * {{|Lecture 16 Spatial Data Mining and Multimedia Data Mining (Esmail Mashkahlaini)}}\\
+  * {{:mapforum.pdf|Lecture 18a Spatial/Spatio-temporal Data Mining}}\\
-  * {{|Lecture 18 Text Classification (Abeer Aljuaid)}}\\
+  * {{:may-tutorial-sebd-07.pdf|Lecture 18b Tutorial on Geographical and Spatial Data Mining}}\\
-  * {{|Lecture 19 Text Mining, Mining the World Wide Web (Van Le & Chang Han Chiang)}}\\
+  * {{:csdeptfall10.pdf|Lecture 18c Geoinformatics across disciplines}}\\
-  * {{|Lecture 20 Bagging, Boosting and Stacking (Mingbin Xu)}}\\
+  * {{:sdm_slide_0903.pdf|Lecture 18d What's so Special about Spatial Data Mining}}\\
+  * {{:text-cat-tutorial.pdf|Lecture 19 Text Classification (William Cohen)}}\\
+  * {{:{{:lecture_18_ngram_models.pdf|textclassify.pdf}}|Lecture 19a Text Classification (Aijun An)}}\\
+  * {{:lec19.pdf|Lecture 19b Text Classification short videos}}\\
+  * {{:text_mining.pdf|Lecture 20 Text Mining, Mining the World Wide Web (Van Le)}}\\
+  * {{:ensemble.pdf|Lecture 21 Bagging, Boosting and Stacking (Mingbin Xu)}}\\
+  * {{:lecture_18_ngram_models.pdf|Lecture 22 n-gram (Bahareh Sarrafzadeh)}}\\
+  * {{:ngram.pdf|Lecture 22 (Vlado Keselj)}}\\
+  * {{:pacling05.pdf|ngrams}}\\
+  * {{:last_class_2.pdf|data mining videos}}\\
+  * {{:the_tugboat.pdf|The Tugboat}}\\
+  * {{:driving_in_bolivia.pdf|Driving in Bolivia}}\\