Mining Dependencies in Large-Scale Agile Software Development Projects: A Quantitative Industry Study | 0 | 0.34 | 2021 |
Big Data analytics in Agile software development: A systematic mapping study | 1 | 0.35 | 2021 |
Graph-based root cause analysis for service-oriented and microservice architectures | 4 | 0.47 | 2020 |
Agile risk management for multi-cloud software development | 0 | 0.34 | 2019 |
Next Stop "NoOps": Enabling Cross-System Diagnostics Through Graph-Based Composition of Logs and Metrics | 0 | 0.34 | 2018 |
Mistral Supercomputer Job History Analysis. | 1 | 0.35 | 2018 |
Protocol and Tools for Conducting Agile Software Engineering Research in an Industrial-Academic Setting: A Preliminary Study. | 0 | 0.34 | 2018 |
Using machine learning to optimize parallelism in big data applications. | 7 | 0.48 | 2018 |
Early Termination of Failed HPC Jobs Through Machine and Deep Learning. | 0 | 0.34 | 2018 |
Provenance and Privacy. | 0 | 0.34 | 2017 |
Knowledge-Defined Networking. | 13 | 0.58 | 2017 |
Actor Based Root Cause Analysis in a Distributed Environment. | 0 | 0.34 | 2017 |
Reducing Event Variability in Logs by Clustering of Word Embeddings. | 0 | 0.34 | 2017 |
Security-Centric Evaluation Framework For It Services | 0 | 0.34 | 2017 |
Survey on Models and Techniques for Root-Cause Analysis. | 1 | 0.35 | 2017 |
Process Model Comparison Based on Cophenetic Distance. | 2 | 0.36 | 2016 |
Scoring Cloud Services Through Digital Ecosystem Community Analysis. | 0 | 0.34 | 2016 |
Crowdwon: A Modelling Language For Crowd Processes Based On Workflow Nets | 0 | 0.34 | 2015 |
Risk-Driven Framework for Decision Support in Cloud Service Selection | 8 | 0.60 | 2015 |
On Supporting Service Selection for Collaborative Multi-cloud Ecosystems in Community Networks | 1 | 0.37 | 2015 |
Graph anonymization via metric embed-dings: Using classical anonymization for graphs | 0 | 0.34 | 2014 |
Crowdsourcing for Industrial Problems. | 4 | 0.38 | 2012 |
Efficient graph management based on bitmap indices | 20 | 0.89 | 2012 |
Efficient microaggregation techniques for large numerical data volumes | 12 | 0.54 | 2012 |
ParallelGDB: a parallel graph database based on cache specialization | 8 | 0.47 | 2011 |
Overlapping Community Search for social networks | 6 | 0.69 | 2010 |
Hybrid in-memory and on-disk tables for speeding-up table accesses | 1 | 0.44 | 2010 |
Graph partitioning strategies for efficient BFS in shared-nothing parallel systems | 5 | 0.49 | 2010 |
Privacy and anonymization for very large datasets | 10 | 0.65 | 2009 |
Proceeding of the ACM First International Workshop on Privacy and Anonymity for Very Large Databases, CIKM-PAVLAD 2009, Hong Kong, China, November 6, 2009 | 8 | 0.63 | 2009 |
Exploiting pipeline interruptions for efficient memory allocation | 0 | 0.34 | 2008 |
Improving Microaggregation for Complex Record Anonymization | 0 | 0.34 | 2008 |
BIBEX: a bibliographic exploration tool based on the DEX graph query engine | 4 | 0.45 | 2008 |
ONN the use of neural networks for data privacy | 0 | 0.34 | 2008 |
Parallelizing Record Linkage for Disclosure Risk Assessment | 3 | 0.46 | 2008 |
Dex: high-performance exploration on large graphs for information retrieval | 51 | 2.53 | 2007 |
Ordered Data Set Vectorization for Linear Regression on Data Privacy | 7 | 0.64 | 2007 |
Improving quality and convergence of genetic query optimizers | 0 | 0.34 | 2007 |
Star join revisited: Performance internals for cluster architectures | 3 | 0.39 | 2007 |
Intensive Crossovers: Improving Convergence and Quality in a Genetic Query Optimizer | 0 | 0.34 | 2006 |
An inside analysis of a genetic-programming based optimizer | 2 | 0.38 | 2006 |
Dynamic count filters | 10 | 0.68 | 2006 |
CGO: a sound genetic optimizer for cyclic query graphs | 6 | 0.55 | 2006 |
Analyzing the genetic operations of an evolutionary query optimizer | 1 | 0.38 | 2006 |
IOAgent: a parallel I/O workload generator | 1 | 0.39 | 2006 |
Parameterizing a genetic optimizer | 2 | 0.38 | 2006 |
Ad hoc star join query processing in cluster architectures | 2 | 0.37 | 2005 |
Pushing Down Bit Filters in the Pipelined Execution of Large Queries | 0 | 0.34 | 2003 |