Welcome to the LWDA 2016 conference hosted by Hasso-Plattner-Institute (HPI) at the University of Potsdam, September 12-14, 2016! The acronym LWDA expands to “Lernen, Wissen, Daten, Analysen” (“Learning, Knowledge, Data, Analytics”). Recent research in the field is presented and discussed from the viewpoint of machine learning, data mining, knowledge extraction, knowledge management, information retrieval, personalization, database management, information systems, big data management and big data analytics to name a few.
| Welcome | 00:13:47 | |
|---|---|---|
| Welcome & Introduction of the HPI | 00:13:47 |
| Argument Mining: Manual and Automatic Annotation of Short User-Generated Texts | 00:53:14 | |
|---|---|---|
| Introduction of the Speaker | 00:01:33 | |
| Definition: Argumentation | 00:10:44 | |
| Scheme for Manual Annotation | 00:09:19 | |
| Text Corpus: Argumentative Microtexts | 00:03:08 | |
| Automatic Analysis: Argument Mining | 00:25:32 | |
| Summary & Perspectives | 00:02:58 |
| Amazon: A Playground for Machine Learning | 00:54:02 | |
|---|---|---|
| Amazon's Virtuous Cycle | 00:12:53 | |
| Natural Language Processing | 00:05:00 | |
| Computer Vision | 00:08:18 | |
| ML Algorithms and Services | 00:25:02 | |
| Challenges | 00:02:49 |
| Algorithm Engineering for Graph Clustering | 00:56:28 | |
|---|---|---|
| Graph clustering: A First Intuition | 00:12:28 | |
| Modulaeity in Practice | 00:16:27 | |
| Density-Constrained Clustering | 00:19:54 | |
| Big Data | 00:07:39 |
| Intelligent Enterprise | 00:52:47 | |
|---|---|---|
| Some surprising new capabilities | 00:12:06 | |
| Why this is possible now | 00:15:24 | |
| What others are doing | 00:07:45 | |
| What SAP has done so far | 00:17:32 |
| Information Extraction | 01:08:48 | |
|---|---|---|
| Biomedical Text Mining | 00:11:10 | |
| Information Extraction | 00:23:33 | |
| Three Challenges | 00:22:24 | |
| Logical Operators | 00:11:41 |
