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Pay-as-you-go Approximate Join Top-k Processing for the Web of Data
Published on 2014-07-302049 Views
For eff ectively searching the Web of data, ranking of results is a crucial. Top-k processing strategies have been proposed to allow an efficient processing of such ranked queries. Top-k strategies a
Presentation
Pay-as-you-go Approximate Join Top-k Processing for the Web of Data00:00
The Importance of Result Ranking for Queries over Web-Scale Data - 104:09:40
The Importance of Result Ranking for Queries over Web-Scale Data - 204:13:40
The Importance of Result Ranking for Queries over Web-Scale Data - 306:47:00
The Importance of Result Ranking for Queries over Web-Scale Data - 410:11:40
Processing Ranked Queries Efficiently - 113:22:20
Processing Ranked Queries Efficiently - 214:10:20
Processing Ranked Queries Efficiently - 314:47:40
Processing Ranked Queries Efficiently - 421:21:00
Processing Ranked Queries Efficiently - 527:21:00
State-of-the-Art for Approximate Top-k Processing and Our Contributions - 131:54:20
State-of-the-Art for Approximate Top-k Processing and Our Contributions - 232:21:00
State-of-the-Art for Approximate Top-k Processing and Our Contributions - 336:47:40
State-of-the-Art for Approximate Top-k Processing and Our Contributions - 453:05:40
State-of-the-Art for Approximate Top-k Processing and Our Contributions - 554:09:00
State-of-the-Art for Approximate Top-k Processing and Our Contributions - 659:23:00
Approximate join top-k processing65:37:40
Running Example - 166:50:20
Running Example - 269:46:20
Running Example - 370:19:00
Running Example - 475:32:20
Approximate Top-k Processing –Idea - 180:28:59
Approximate Top-k Processing –Idea - 282:12:20
Approximate Top-k Processing –Idea - 383:45:40
Approximate Top-k Processing –Idea - 491:41:00
Approximate Top-k Processing –Idea - 598:05:00
Approximate Top-k Processing –Idea - 698:51:00
Approximate Top-k Processing –Idea - 7102:33:40
Approximate Top-k Processing –Idea - 8104:30:20
Approximate Top-k Processing –Idea - 9105:49:00
Approximate Top-k Processing –Idea - 10107:41:00
Approximate Top-k Processing –Idea - 11112:35:40
Top-k Test –Binding Probability - 1116:30:20
Top-k Test –Binding Probability - 2116:51:40
Top-k Test –Binding Probability - 3119:12:20
Top-k Test –Binding Probability - 4121:55:40
Top-k Test –Binding Probability - 5125:41:40
Top-k Test –Binding Probability - 6129:52:20
Top-k Test –Binding Probability - 7131:33:40
Top-k Test –Binding Probability - 8131:35:00
Top-k Test –Binding Probability - 9132:13:00
Top-k Test –Binding Probability - 10134:27:40
Top-k Test –Binding Probability - 11139:25:40
Top-k Test –Score Probability - 1149:59:40
Top-k Test –Score Probability - 2150:44:20
Top-k Test –Score Probability - 3158:25:00
Top-k Test –Score Probability - 4158:51:00
Top-k Test –Score Probability - 5160:20:20
Top-k Test –Score Probability - 6161:09:00
Top-k Test –Score Probability - 7162:25:40
Top-k Test –Score Probability - 8166:33:00
Top-k Test –Score Probability - 9180:55:00
Score Distribution Learning at Runtime (1) - 1183:57:00
Score Distribution Learning at Runtime (1) - 2185:25:40
Score Distribution Learning at Runtime (1) - 3193:06:20
Score Distribution Learning at Runtime (1) - 4198:13:00
Score Distribution Learning at Runtime (1) - 5203:39:00
Score Distribution Learning at Runtime (1) - 6206:01:00
Score Distribution Learning at Runtime (1) - 7207:55:00
Score Distribution Learning at Runtime (1) - 8208:17:40
Score Distribution Learning at Runtime (1) - 9212:57:40
Score Distribution Learning at Runtime (1) - 10213:16:20
Score Distribution Learning at Runtime (1) - 11219:15:40
Score Distribution Learning at Runtime (1) - 12219:27:40
Score Distribution Learning at Runtime (1) - 13223:02:20
Score Distribution Learning at Runtime (1) - 14223:19:00
Score Distribution Learning at Runtime (1) - 15225:41:00
Score Distribution Learning at Runtime (1) - 16225:55:00
Score Distribution Learning at Runtime (2) - 1231:41:40
Score Distribution Learning at Runtime (2) - 2232:42:20
Score Distribution Learning at Runtime (2) - 3236:17:00
Score Distribution Learning at Runtime (2) - 4236:35:40
Score Distribution Learning at Runtime (2) - 5239:16:20
Score Distribution Learning at Runtime (2) - 6242:15:00
Score Distribution Learning at Runtime (2) - 7246:49:00
Score Distribution Learning at Runtime (2) - 8248:45:00
Evaluation254:07:40
Evaluation Setting - 1255:01:00
Evaluation Setting - 2255:13:40
Evaluation Setting - 3255:49:40
Evaluation Setting - 4257:31:40
Evaluation Setting - 5258:57:40
Evaluation Setting - 6260:25:40
Evaluation Setting - 7260:45:00
Evaluation Setting - 8263:57:00
Evaluation Setting - 9264:47:40
Evaluation Setting - 10266:17:00
Evaluation Setting - 11266:47:00
Evaluation Setting - 12267:14:20
Efficiency Results for the SP2 Benchmark - 1268:58:20
Efficiency Results for the SP2 Benchmark - 2279:01:00
Efficiency Results for the SP2 Benchmark - 3296:43:40
Efficiency Results for the SP2 Benchmark - 4298:27:40
Efficiency Results for the SP2 Benchmark - 5304:39:00
Efficiency Results for the SP2 Benchmark - 6312:41:00
Conclusion - 1315:55:40
Conclusion - 2316:29:00
Conclusion - 3316:41:40
Conclusion - 4318:57:00
Conclusion - 5319:40:20
Questions?323:40:20