| Nome |
# |
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Relational mining for discovering changes in evolving networks, file dd9e0c6b-fd2b-1e9c-e053-3a05fe0a45ef
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58
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Active learning via collective inference in network regression problems, file 34d3b78a-88ac-4c76-9c8d-13af9d1622b8
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53
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Mining microscopic and macroscopic changes in network data streams, file dd9e0c6b-e306-1e9c-e053-3a05fe0a45ef
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46
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Using interactions and dynamics for mining groups of moving objects from trajectory data, file 02e2724b-ea45-4de1-be29-b0377c2dd35b
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41
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Collective regression for handling autocorrelation of network data in a transductive setting, file dd9e0c6c-0d22-1e9c-e053-3a05fe0a45ef
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37
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Relational mining for discovering changes in evolving networks, file dd9e0c64-2a25-1e9c-e053-3a05fe0a45ef
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13
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Collective regression for handling autocorrelation of network data in a transductive setting, file dd9e0c63-a044-1e9c-e053-3a05fe0a45ef
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12
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Mining microscopic and macroscopic changes in network data streams, file dd9e0c69-cff7-1e9c-e053-3a05fe0a45ef
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9
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null, file dd9e0c69-fa04-1e9c-e053-3a05fe0a45ef
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9
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null, file dd9e0c62-7bbf-1e9c-e053-3a05fe0a45ef
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5
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null, file dd9e0c69-f431-1e9c-e053-3a05fe0a45ef
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5
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Active learning via collective inference in network regression problems, file dd9e0c6a-4392-1e9c-e053-3a05fe0a45ef
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5
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null, file dd9e0c6c-3412-1e9c-e053-3a05fe0a45ef
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5
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Multi-Channel Deep Feature Learning for Intrusion Detection, file dd9e0c66-61de-1e9c-e053-3a05fe0a45ef
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4
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Simultaneous Process Drift Detection and Characterization with Pattern-Based Change Detectors, file dd9e0c69-a841-1e9c-e053-3a05fe0a45ef
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4
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null, file dd9e0c69-bc68-1e9c-e053-3a05fe0a45ef
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4
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null, file dd9e0c62-7529-1e9c-e053-3a05fe0a45ef
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3
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null, file dd9e0c66-9b00-1e9c-e053-3a05fe0a45ef
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3
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JKarma: A Highly-Modular Framework for Pattern-Based Change Detection on Evolving Data, file dd9e0c69-b336-1e9c-e053-3a05fe0a45ef
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3
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Mining emotion-aware sequential rules at user-level from micro-blogs, file 8d8575b7-688f-45f8-a03f-ecc20926e26c
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2
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Predicting Investor Behavior and Investment Patterns in Equity and Lending Crowdfunding Campaigns, file 2fd643a8-ecc4-4576-a728-48b2bd1182d4
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1
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null, file dd9e0c62-4de4-1e9c-e053-3a05fe0a45ef
|
1
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null, file dd9e0c62-5170-1e9c-e053-3a05fe0a45ef
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1
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Ranking Sentences for Keyphrase Extraction: A Relational Data Mining Approach, file dd9e0c62-5bf7-1e9c-e053-3a05fe0a45ef
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1
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Network Regression in Collective Inference Setting, file dd9e0c62-60ff-1e9c-e053-3a05fe0a45ef
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1
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null, file dd9e0c62-646f-1e9c-e053-3a05fe0a45ef
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1
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null, file dd9e0c62-6bb3-1e9c-e053-3a05fe0a45ef
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1
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null, file dd9e0c62-6cbc-1e9c-e053-3a05fe0a45ef
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1
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null, file dd9e0c62-6e02-1e9c-e053-3a05fe0a45ef
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1
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null, file dd9e0c62-704b-1e9c-e053-3a05fe0a45ef
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1
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null, file dd9e0c62-706a-1e9c-e053-3a05fe0a45ef
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1
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null, file dd9e0c62-71ea-1e9c-e053-3a05fe0a45ef
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1
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Relational learning of disjunctive patterns in spatial networks, file dd9e0c62-7cb1-1e9c-e053-3a05fe0a45ef
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1
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Recent advances in mining patterns from complex data, file dd9e0c63-9894-1e9c-e053-3a05fe0a45ef
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1
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null, file dd9e0c64-9fd2-1e9c-e053-3a05fe0a45ef
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1
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null, file dd9e0c65-2e19-1e9c-e053-3a05fe0a45ef
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1
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null, file dd9e0c65-8141-1e9c-e053-3a05fe0a45ef
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1
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null, file dd9e0c65-a748-1e9c-e053-3a05fe0a45ef
|
1
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null, file dd9e0c65-f08e-1e9c-e053-3a05fe0a45ef
|
1
|
|
null, file dd9e0c69-9d8e-1e9c-e053-3a05fe0a45ef
|
1
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null, file dd9e0c69-b4e1-1e9c-e053-3a05fe0a45ef
|
1
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null, file dd9e0c69-c436-1e9c-e053-3a05fe0a45ef
|
1
|
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null, file dd9e0c69-e4ae-1e9c-e053-3a05fe0a45ef
|
1
|
|
null, file dd9e0c69-e4b0-1e9c-e053-3a05fe0a45ef
|
1
|
|
null, file dd9e0c69-f6e1-1e9c-e053-3a05fe0a45ef
|
1
|
|
null, file dd9e0c69-f6e2-1e9c-e053-3a05fe0a45ef
|
1
|
|
null, file dd9e0c69-f6e4-1e9c-e053-3a05fe0a45ef
|
1
|
|
null, file dd9e0c6a-16b6-1e9c-e053-3a05fe0a45ef
|
1
|
|
null, file dd9e0c6a-3ee0-1e9c-e053-3a05fe0a45ef
|
1
|
|
null, file dd9e0c6a-4c3a-1e9c-e053-3a05fe0a45ef
|
1
|
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null, file dd9e0c6a-5080-1e9c-e053-3a05fe0a45ef
|
1
|
|
null, file dd9e0c6a-5081-1e9c-e053-3a05fe0a45ef
|
1
|
|
null, file dd9e0c6a-5085-1e9c-e053-3a05fe0a45ef
|
1
|
| Totale |
354 |