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Home-DM&IIP | datamining-iip.fudan.edu.cn Reviews
https://datamining-iip.fudan.edu.cn
It's time high-level executives and IT compliance officers recognize and acknowledge the danger of malicious insiders, an increased attack surface and the potential for breaches caused by employee error or negligence. See why there is extra emphasis on insider threats.
datamining-iip.fudan.edu.cn
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Winner of BioASQ Competition Task 4a: Large-Scale Online Biomedical Semantic Indexing. Fudan team: Shengwen Peng, Ronghu You and Shanfeng Zhu. Winner of BioASQ Competition Task 3a: Large-Scale Online Biomedical Semantic Indexing. Fudan team: Shengwen Peng, Shanfeng Zhu. Second Place of BioASQ Competition Task 2b Phase A(Batch 2, Batch 3): Biomedical Semantic QA. Fudan team: Beichen Wang, Shanfeng Zhu. Winner of BioASQ Competition Task 2a: Large-Scale Online Biomedical Semantic Indexing.
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A Meta Approach for Pan-Specific MHC Peptide Binding Prediction. Improving drug-target interaction prediction of new candidate drugs or targets by ensemble learning to rank. Qingjun Yuan, Junning Gao, Dongliang Wu,Shihua Zhang, Hiroshi Mamitsuka, Shanfeng Zhu.Bioinformatics(ISMB 2016)32(12):i18-i27(2016). BMExpert: Mining MEDLINE for Finding Experts in Biomedical Domains Based on Language Model. Beichen Wang, Xiaodong Chen, Hiroshi Mamitsuka, and Shanfeng Zhu. A meta-approach to predict peptides binding ...
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DrugE-Rank:improving drug-target interaction prediction of new candidate drugs or targets by ensemble learning. Qingjun Yuan, Junning Gao, Dongliang Wu, Shihua Zhang, Hiroshi Mamitsuka, Shanfeng Zhu. Bioinformatics (ISMB2016) 32(12): i18-i27 (2016). DeepMeSH:deep semantic representation for improving Large-scale MeSH indexing. Shengwen Peng, Ronghui You, Hongning Wang,Chengxiang Zhai, Hiroshi Mamitsuka, Shanfeng Zhu. Bioinformatics(ISMB 2016)32(12):i70-i79(2016). Hao Ding, Ichigaku Takigawa, Hiroshi Mami...
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Chapter 1. The Role of Algorithms in Computing. Chapter 2. Getting Started. Chapter 3. Growth of Functions. Chapter 4. Recurrences. Chapter 4B. Divide and Conquer. Chapter 5. Probabilistic Analysis and Randomized Algorithms. Chapter 6. HeapSort. Chapter 7. Quicksort. Chapter 8. Sorting in Linear Time. Chapter 9. Medians and Order Statistics. Chapter 10. Hash Tables. Chapter 11. Binary Search Trees. Chapter 12. Balanced Search Trees, Red-Black Trees, AVL. Chapter 13. Dynamic Programming.
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9th European Conference on. 22 – 24 July 2015. Las Palmas de Gran Canaria, Spain. Technical University of Catalonia, Spain. The conference proceedings will be submitted for indexing to INSPEC, EI Compendex, Thomson ISI, ISTP and other indexing services. Selected authors of best papers will be invited to submit extended versions of their papers. To selected journals including journals from. The best paper authors will be invited to publish extended versions of their papers in the IADIS. Venue / Hotel Info.
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It's time high-level executives and IT compliance officers recognize and acknowledge the danger of malicious insiders, an increased attack surface and the potential for breaches caused by employee error or negligence. See why there is extra emphasis on insider threats.
Data Mining International – Optimising evidence-based knowledge for enlightened decisions
Optimising evidence-based knowledge for enlightened decisions. To generate meaningful information by conducting advanced modelling research and to deliver globally applicable innovative solutions in order to establish the value of new technologies and to support decision-making, using best scientific practices. Data Mining Research, Evidence Modelling, Multi-Criteria Risk Assessment, Business Modelling, Health Technology Assessment (HTA), Value Demonstration, Process Optimisation etc.
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