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Marco Spruit
Marco R. Spruit – Marco René Spruit
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- affiliation: Utrecht University, The Netherlands
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2020 – today
- 2024
- [j62]Samar Samir Khalil
, Noha S. Tawfik, Marco Spruit
Exploring the potential of federated learning in mental health research: a systematic literature review. Appl. Intell. 54(2): 1619-1636 (2024) - [j61]Max van Haastrecht
Understanding validity criteria in technology-enhanced learning: A systematic literature review. Comput. Educ. 220: 105128 (2024) - [j60]Hugo Álvarez-Chaves
Improving ED admissions forecasting by using generative AI: An approach based on DGAN. Comput. Methods Programs Biomed. 256: 108363 (2024) - [j59]Hielke Muizelaar
Extracting patient lifestyle characteristics from Dutch clinical text with BERT models. BMC Medical Informatics Decis. Mak. 24(1): 151 (2024) - [j58]Hielke Muizelaar, Marcel R. Haas, Koert van Dortmont, Peter van der Putten, Marco Spruit:
Correction: Extracting patient lifestyle characteristics from Dutch clinical text with BERT models. BMC Medical Informatics Decis. Mak. 24(1): 169 (2024) - [j57]Emil Rijcken
Topic specificity: A descriptive metric for algorithm selection and finding the right number of topics. Nat. Lang. Process. J. 8: 100082 (2024) - [j56]Samar Samir Khalil
Federated learning for privacy-preserving depression detection with multilingual language models in social media posts. Patterns 5(7): 100990 (2024) - [c67]Max van Haastrecht
Federated Learning Analytics: Investigating the Privacy-Performance Trade-Off in Machine Learning for Educational Analytics. AIED (2) 2024: 62-74 - [c66]Runda Wang, Suzan Verberne
Attend All Options at Once: Full Context Input for Multi-choice Reading Comprehension. ECIR (1) 2024: 387-402 - [c65]Armel Lefebvre
Empowering Translational Health Data Science Capabilities in Population Health Management - A Case of Building a Data Competence Center. I3E 2024: 394-402 - [c64]Parisis Gallos
INSAFEDARE Project: Innovative Applications of Assessment and Assurance of Data and Synthetic Data for Regulatory Decision Support. MIE 2024: 1193-1197 - [i11]Bram van Dijk, Saif ul Islam, Jim Achterberg, Hafiz Muhammad Waseem, Parisis Gallos, Gregory Epiphaniou, Carsten Maple, Marcel R. Haas, Marco Spruit:
A Novel Taxonomy for Navigating and Classifying Synthetic Data in Healthcare Applications. CoRR abs/2409.00701 (2024) - 2023
- [j55]Max van Haastrecht
VAST: a practical validation framework for e-assessment solutions. Inf. Syst. E Bus. Manag. 21(3): 603-627 (2023) - [j54]Armel Lefebvre
Laboratory Forensics for Open Science Readiness: an Investigative Approach to Research Data Management. Inf. Syst. Frontiers 25(1): 381-399 (2023) - [j53]Rebecca Ferguson
Aligning the Goals of Learning Analytics with its Research Scholarship: An Open Peer Commentary Approach. J. Learn. Anal. 10(2): 14-50 (2023) - [c63]Bram van Dijk
Theory of Mind in Freely-Told Children's Narratives: A Classification Approach. ACL (Findings) 2023: 12979-12993 - [c62]Bram van Dijk
ChiSCor: A Corpus of Freely-Told Fantasy Stories by Dutch Children for Computational Linguistics and Cognitive Science. CoNLL 2023: 352-363 - [c61]Max J. van Duijn, Bram van Dijk
Theory of Mind in Large Language Models: Examining Performance of 11 State-of-the-Art models vs. Children Aged 7-10 on Advanced Tests. CoNLL 2023: 389-402 - [c60]Bram van Dijk
Large Language Models: The Need for Nuance in Current Debates and a Pragmatic Perspective on Understanding. EMNLP 2023: 12641-12654 - [c59]Emil Rijcken, Kalliopi Zervanou
Effect of Calculating Pointwise Mutual Information using a Fuzzy Sliding Window in Topic Modeling. FUZZ 2023: 1-6 - [c58]Max van Haastrecht
Embracing Trustworthiness and Authenticity in the Validation of Learning Analytics Systems. LAK 2023: 552-558 - [i10]Bram M. A. van Dijk, Tom Kouwenhoven, Marco R. Spruit, Max J. van Duijn:
Large Language Models: The Need for Nuance in Current Debates and a Pragmatic Perspective on Understanding. CoRR abs/2310.19671 (2023) - [i9]Max J. van Duijn, Bram M. A. van Dijk, Tom Kouwenhoven, Werner de Valk, Marco R. Spruit
Theory of Mind in Large Language Models: Examining Performance of 11 State-of-the-Art models vs. Children Aged 7-10 on Advanced Tests. CoRR abs/2310.20320 (2023) - [i8]Bram M. A. van Dijk, Max J. van Duijn, Suzan Verberne, Marco R. Spruit:
ChiSCor: A Corpus of Freely Told Fantasy Stories by Dutch Children for Computational Linguistics and Cognitive Science. CoRR abs/2310.20328 (2023) - 2022
- [j52]Thomas Borger, Pablo Mosteiro
Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting. Expert Syst. Appl. 199: 116720 (2022) - [j51]Emil Rijcken, Uzay Kaymak
Topic Modeling for Interpretable Text Classification From EHRs. Frontiers Big Data 5: 846930 (2022) - [j50]Pablo Mosteiro
Bias Discovery in Machine Learning Models for Mental Health. Inf. 13(5): 237 (2022) - [j49]Chaïm van Toledo
Exploring the Utility of Dutch Question Answering Datasets for Human Resource Contact Centres. Inf. 13(11): 513 (2022) - [c57]Emil Rijcken, Pablo Mosteiro, Kalliopi Zervanou
FuzzyTM: a Software Package for Fuzzy Topic Modeling. FUZZ-IEEE 2022: 1-8 - [c56]Injy Sarhan, Pablo Mosteiro, Marco Spruit:
UU-Tax at SemEval-2022 Task 3: Improving the generalizability of language models for taxonomy classification through data augmentation. SemEval@NAACL 2022: 271-281 - [c55]Emil Rijcken, Kalliopi Zervanou
Exploring Embedding Spaces for more Coherent Topic Modeling in Electronic Health Records. SMC 2022: 2669-2674 - [i7]Pablo Mosteiro, Emil Rijcken, Kalliopi Zervanou, Uzay Kaymak, Floortje Scheepers, Marco Spruit
Machine Learning for Violence Risk Assessment Using Dutch Clinical Notes. CoRR abs/2204.13535 (2022) - [i6]Pablo Mosteiro, Emil Rijcken, Kalliopi Zervanou, Uzay Kaymak, Floortje Scheepers, Marco Spruit
Making sense of violence risk predictions using clinical notes. CoRR abs/2204.13976 (2022) - [i5]Thomas Borger, Pablo Mosteiro, Heysem Kaya
Federated learning for violence incident prediction in a simulated cross-institutional psychiatric setting. CoRR abs/2205.10234 (2022) - [i4]Pablo Mosteiro, Jesse Kuiper, Judith Masthoff, Floortje Scheepers, Marco Spruit
Bias Discovery in Machine Learning Models for Mental Health. CoRR abs/2205.12093 (2022) - [i3]Injy Sarhan, Pablo Mosteiro, Marco Spruit:
UU-Tax at SemEval-2022 Task 3: Improving the generalizability of language models for taxonomy classification through data augmentation. CoRR abs/2210.03378 (2022) - 2021
- [j48]Noha S. Tawfik, Marco R. Spruit
Corrigendum to: the SNPcurator: literature mining of enriched SNP-disease associations. Database J. Biol. Databases Curation 2021 (2021) - [j47]Marco Spruit
Automated Business Goal Extraction from E-mail Repositories to Bootstrap Business Understanding. Future Internet 13(10): 243 (2021) - [j46]Max van Haastrecht
SYMBALS: A Systematic Review Methodology Blending Active Learning and Snowballing. Frontiers Res. Metrics Anal. 6: 685591 (2021) - [j45]Bilge Yigit Ozkan
The Cybersecurity Focus Area Maturity (CYSFAM) Model. J. Cybersecur. Priv. 1(1): 119-139 (2021) - [j44]Tim Smit
The Effect of Countermeasure Readability on Security Intentions. J. Cybersecur. Priv. 1(4): 675-704 (2021) - [j43]Injy Sarhan, Marco Spruit
Open-CyKG: An Open Cyber Threat Intelligence Knowledge Graph. Knowl. Based Syst. 233: 107524 (2021) - [c54]Max van Haastrecht
A Threat-Based Cybersecurity Risk Assessment Approach Addressing SME Needs. ARES 2021: 158:1-158:12 - [c53]Friso W. van Dijk, Marco Spruit, Chaïm van Toledo, Matthieu J. S. Brinkhuis:
Pillars of Privacy: Identifying Core Theory in a Network Analysis of Privacy Literature. ECIS 2021 - [c52]Emil Rijcken, Floortje Scheepers, Pablo Mosteiro, Kalliopi Zervanou
A Comparative Study of Fuzzy Topic Models and LDA in terms of Interpretability. SSCI 2021: 1-8 - [i2]Chaïm van Toledo, Friso van Dijk, Marco Spruit:
Dutch Named Entity Recognition and De-identification Methods for the Human Resource Domain. CoRR abs/2106.02287 (2021) - 2020
- [j42]Marco Spruit
Text Mining Business Policy Documents: Applied Data Science in Finance. Int. J. Bus. Intell. Res. 11(2): 1-19 (2020) - [j41]Armel Lefebvre
Exploring research data management planning challenges in practice. it Inf. Technol. 62(1): 29-37 (2020) - [j40]Noha S. Tawfik, Marco R. Spruit
Evaluating sentence representations for biomedical text: Methods and experimental results. J. Biomed. Informatics 104: 103396 (2020) - [c51]Marco Spruit, Thomas Dedding, Daniel Vijlbrief:
Self-service Data Science for Healthcare Professionals: A Data Preparation Approach. HEALTHINF 2020: 724-734 - [c50]Bilge Yigit Ozkan
Addressing SME Characteristics for Designing Information Security Maturity Models. HAISA 2020: 161-174 - [c49]Pablo Mosteiro, Emil Rijcken, Kalliopi Zervanou
Making Sense of Violence Risk Predictions Using Clinical Notes. HIS 2020: 3-14 - [c48]Marco Spruit
Self-Service Data Science for Adverse Event Prediction in Electronic Healthcare Records. RIIFORUM 2020: 517-535 - [i1]Bilge Yigit Ozkan, Marco Spruit:
Assessing and Improving Cybersecurity Maturity for SMEs: Standardization aspects. CoRR abs/2007.01751 (2020)
2010 – 2019
- 2019
- [j39]Richard Ooms, Marco R. Spruit
3PM Revisited: Dissecting the Three Phases Method for Outsourcing Knowledge Discovery. Int. J. Bus. Intell. Res. 10(1): 80-93 (2019) - [c47]Vincent Jorn Menger
Using Cluster Ensembles to Identify Psychiatric Patient Subgroups. AIME 2019: 252-262 - [c46]Noha S. Tawfik, Marco Spruit:
UU_TAILS at MEDIQA 2019: Learning Textual Entailment in the Medical Domain. BioNLP@ACL 2019: 493-499 - [c45]Vincent Jorn Menger
Supporting Reuse of EHR Data in Healthcare Organizations: The CARED Research Infrastructure Framework. HEALTHINF 2019: 41-50 - [c44]Zhengru Shen, Marco Spruit
LOCATE: A Web Application to Link Open-source Clinical Software with Literature. HEALTHINF 2019: 294-301 - [c43]Armel Lefebvre
Designing Laboratory Forensics. I3E 2019: 238-251 - [c42]Armel Lefebvre, Marco Spruit:
A Socio-Technical Perspective on reproducibility in Research Data Management. MCIS 2019: 10 - [c41]Noha S. Tawfik, Marco R. Spruit
PreMedOnto: A Computer Assisted Ontology for Precision Medicine. NLDB 2019: 329-336 - [c40]Injy Sarhan, Marco R. Spruit
Contextualized Word Embeddings in a Neural Open Information Extraction Model. NLDB 2019: 359-367 - [c39]Noha S. Tawfik, Marco R. Spruit
Towards Recognition of Textual Entailment in the Biomedical Domain. NLDB 2019: 368-375 - [c38]Zhengru Shen, Xi Wang, Marco Spruit
Big Data Framework for Scalable and Efficient Biomedical Literature Mining in the Cloud. NLPIR 2019: 80-86 - [c37]Marco Spruit
The CRISP-DCW Method for Distributed Computing Workflows. RIIFORUM 2019: 325-341 - [c36]Marco Spruit
Applied Data Science in Financial Industry - Natural Language Processing Techniques for Bank Policies. RIIFORUM 2019: 351-367 - 2018
- [j38]Noha S. Tawfik, Marco R. Spruit
The SNPcurator: literature mining of enriched SNP-disease associations. Database J. Biol. Databases Curation 2018: bay020 (2018) - [j37]Marc van den Homberg
Bridging the information gap of disaster responders by optimizing data selection using cost and quality. Comput. Geosci. 120: 60-72 (2018) - [j36]Shaheen Syed
Exploring Symmetrical and Asymmetrical Dirichlet Priors for Latent Dirichlet Allocation. Int. J. Semantic Comput. 12(3): 399-423 (2018) - [j35]Marco Spruit
Applied data science in patient-centric healthcare: Adaptive analytic systems for empowering physicians and patients. Telematics Informatics 35(4): 643-653 (2018) - [j34]Vincent Jorn Menger
DEDUCE: A pattern matching method for automatic de-identification of Dutch medical text. Telematics Informatics 35(4): 727-736 (2018) - [c35]Jessica van der Zweth, Marjan Askari
Devices Used for Non-Invasive Tele Homecare for Cardiovascular Patients - A Systematic Literature Review. HEALTHINF 2018: 300-307 - [c34]Ellen Luchies, Marco Spruit
Speech Technology in Dutch Health Care: A Qualitative Study. HEALTHINF 2018: 339-348 - [c33]Armel Lefebvre, Elizabeth Schermerhorn, Marco Spruit:
How Research Data Management can Contribute to Efficient and Reliable Science. ECIS 2018: 35 - [c32]Noha S. Tawfik, Marco R. Spruit
Automated Contradiction Detection in Biomedical Literature. MLDM (1) 2018: 138-148 - [c31]Bilge Yigit Ozkan
A Questionnaire Model for Cybersecurity Maturity Assessment of Critical Infrastructures. IOSec@RAID 2018: 49-60 - [c30]Shaheen Syed
Selecting Priors for Latent Dirichlet Allocation. ICSC 2018: 194-202 - 2017
- [j33]Michiel Meulendijk, Marco R. Spruit
To what extent can prescriptions be meaningfully exchanged between primary care terminologies? A case study of four western European classification systems. IET Softw. 11(5): 256-264 (2017) - [j32]Marco Buijs, Marco R. Spruit
Asynchronous social search as a single point of access to information. Libr. Hi Tech 35(4): 656-671 (2017) - [c29]Michiel C. Meulendijk, Marco R. Spruit
Risk Mediation in Association Rules - The Case of Decision Support in Medication Review. AIME 2017: 327-331 - [c28]Ivor Van Der Schalk, Marco R. Spruit
Sign-Lingo - Feasibility of a Serious Game for Involving Parents in the Language Development of Their Deaf or Hearing Impaired Child. HEALTHINF 2017: 191-198 - [c27]Shaheen Syed
Full-Text or Abstract? Examining Topic Coherence Scores Using Latent Dirichlet Allocation. DSAA 2017: 165-174 - [c26]Lonneke Brakenhoff, Marco Spruit
Consumer Engagement Characteristics in Mobile Advertising. KDIR 2017: 206-214 - 2016
- [j31]Paul Eskes, Marco R. Spruit
The sociability score: App-based social profiling from a healthcare perspective. Comput. Hum. Behav. 59: 39-48 (2016) - [j30]Vincent Jorn Menger
Transitioning to a Data Driven Mental Health Practice: Collaborative Expert Sessions for Knowledge and Hypothesis Finding. Comput. Math. Methods Medicine 2016: 9089321:1-9089321:11 (2016) - [j29]Thijs Baars, Frederik Mijnhardt, Kevin Vlaanderen, Marco René Spruit
An analytics approach to adaptive maturity models using organizational characteristics. Decis. Anal. 3: 5 (2016) - [j28]Ana Stroe, Marco R. Spruit
PMOMM: The Project Management Office Maturity Model. Int. J. Knowl. Soc. Res. 7(3): 47-61 (2016) - [j27]Frederik Mijnhardt, Thijs Baars, Marco Spruit
Organizational Characteristics Influencing SME Information Security Maturity. J. Comput. Inf. Syst. 56(2): 106-115 (2016) - [j26]Michiel C. Meulendijk
Efficiency of Clinical Decision Support Systems Improves with Experience. J. Medical Syst. 40(4): 76:1-76:7 (2016) - [c25]Jan van Dijk, Mortaza S. Bargh, Sunil Choenni, Marco Spruit
Maturing Pay-as-you-go Data Quality Management: Towards Decision Support for Paying the Larger Bills. DATA (Revised Selected Papers) 2016: 102-124 - [c24]Zhengru Shen, Michiel Meulendijk, Marco R. Spruit:
A Federated Information Architecture for Multinational Clinical Trials: Stripa Revisited. ECIS 2016 - [c23]Shaheen Syed, Marco R. Spruit
Bootstrapping a Semantic Lexicon on Verb Similarities. KDIR 2016: 189-196 - [c22]Chaïm van Toledo, Marco R. Spruit:
Adopting Privacy Regulations in a Data Warehouse - A Case of the Anonimity versus Utility Dilemma. KDIR 2016: 234-239 - [c21]Marco R. Spruit
Power to the People! - Meta-Algorithmic Modelling in Applied Data Science. KDIR 2016: 400-406 - 2015
- [j25]Marco R. Spruit
MD3M: The master data management maturity model. Comput. Hum. Behav. 51: 1068-1076 (2015) - [j24]Sjors Otten, Marco R. Spruit
Towards decision analytics in product portfolio management. Decis. Anal. 2: 4 (2015) - [j23]Stella Pachidi, Marco R. Spruit
The Performance Mining Method: Extracting Performance Knowledge from Software Operation Data. Int. J. Bus. Intell. Res. 6(1): 11-29 (2015) - [j22]Michalis Christoulakis, Marco R. Spruit
Data quality management in the public domain: a case study within the Dutch justice system. Int. J. Inf. Qual. 4(1): 1-17 (2015) - [j21]Marco R. Spruit
Quantifying Education Quality in Secondary Schools. Int. J. Knowl. Soc. Res. 6(1): 55-86 (2015) - [j20]Marco R. Spruit
Effective and Efficient Classification of Topically-Enriched Domain-Specific Text Snippets: The TETSC Method. Int. J. Strateg. Decis. Sci. 6(3): 1-17 (2015) - [j19]Marco R. Spruit, Catalina Sacu:
DWCMM: The Data Warehouse Capability Maturity Model. J. Univers. Comput. Sci. 21(11): 1508-1534 (2015) - [c20]Michiel C. Meulendijk, Marco R. Spruit, Paul A. F. Jansen, Mattijs E. Numans, Sjaak Brinkkemper:
STRIPA: A Rule-Based Decision Support System for Medication Reviews in Primary Care. ECIS 2015 - [c19]Marco R. Spruit
CIRA: A Competitive Intelligence Reference Architecture for Dynamic Solutions. KDIR 2015: 249-258 - [c18]Armel Lefebvre, Marco R. Spruit
Towards Reusability of Computational Experiments. KDIR 2015: 456-462 - 2014
- [j18]Stella Pachidi
Understanding users' behavior with software operation data mining. Comput. Hum. Behav. 30: 583-594 (2014) - [j17]Marco R. Spruit
Towards healthcare business intelligence in long-term care: An explorative case study in the Netherlands. Comput. Hum. Behav. 30: 698-707 (2014) - [j16]Dennis Maaß, Marco R. Spruit
Improving short-term demand forecasting for short-lifecycle consumer products with data mining techniques. Decis. Anal. 1: 4 (2014) - [j15]Georgia Fotaki, Marco R. Spruit
Exploring Big Data Opportunities for Online Customer Segmentation. Int. J. Bus. Intell. Res. 5(3): 58-75 (2014) - [j14]Marco R. Spruit
Business Intelligence as a Service: A Vendor's Approach. Int. J. Bus. Intell. Res. 5(4): 26-43 (2014) - [j13]Remco Snijders, Marco R. Spruit
Towards Improved Music Recommendation: Using Blogs and Micro-Blogs. Int. J. Multim. Data Eng. Manag. 5(1): 34-51 (2014) - [c17]Michiel Meulendijk, Edwin Meulendijks, Paul Jansen, Mattijs E. Numans, Marco R. Spruit:
What Concerns Users of Medical Apps? Exploring Non-Functional Requirements of Medical Mobile Applications. ECIS 2014 - [c16]Marco R. Spruit, Martijn Röling:
Isfam: the Information Security Focus Area Maturity Model. ECIS 2014 - [c15]Marco Buijs, Marco R. Spruit
The Social Score - Determining the Relative Importance of Webpages Based on Online Social Signals. KDIR 2014: 71-77 - [c14]Marco Buijs, Marco R. Spruit
Determining the Relative Importance of Webpages Based on Social Signals Using the Social Score and the Potential Role of the Social Score in an Asynchronous Social Search Engine. IC3K (Selected Papers) 2014: 118-131 - 2013
- [j12]Michiel Meulendijk
General practitioners' attitudes towards decision-supported prescribing: An analysis of the Dutch primary care sector. Health Informatics J. 19(4): 247-263 (2013) - [j11]Wienand A. Omta, David A. Egan, Judith Klumperman, Marco R. Spruit
HTS-IA: High Throughput Screening Information Architecture for Genomics. Int. J. Heal. Inf. Syst. Informatics 8(4): 17-31 (2013) - [j10]Martijn Smeitink, Marco R. Spruit
Maturity for Sustainability in IT: Introducing the MITS. Int. J. Inf. Technol. Syst. Approach 6(1): 39-56 (2013) - [j9]Kim Verkooij, Marco Spruit
Mobile Business Intelligence: Key Considerations for Implementations Projects. J. Comput. Inf. Syst. 54(1): 23-33 (2013) - [c13]Jan van Dijk, Sunil Choenni, Erik Leertouwer, Marco R. Spruit
A Data Space System for the Criminal Justice Chain. OTM Conferences 2013: 755-763 - 2012
- [j8]Michel Wasmann, Marco R. Spruit
Performance Management within Social Network Sites: The Social Network Intelligence Process Method. Int. J. Bus. Intell. Res. 3(2): 49-63 (2012) - [j7]Thijs Baars, Marco R. Spruit
Designing a Secure Cloud Architecture: The SeCA Model. Int. J. Inf. Secur. Priv. 6(1): 14-32 (2012) - [j6]Marco R. Spruit
CITS: The Cost of IT Security Framework. Int. J. Inf. Secur. Priv. 6(4): 94-116 (2012) - [j5]Marco R. Spruit
The Pricing Strategy Guideline Framework for SaaS Vendors. Int. J. Strateg. Inf. Technol. Appl. 3(1): 38-53 (2012) - [j4]Thijs Baars, Marco R. Spruit:
Analysing the Security Risks of Cloud Adoption Using the SeCA Model: A Case Study. J. Univers. Comput. Sci. 18(12): 1662-1678 (2012) - [c12]Remko Helms, Eric Booij, Marco R. Spruit:
Reaching out: involving Users in Innovation Tasks through Social Media. ECIS 2012: 193 - 2011
- [j3]Senoaji Wijaya, Marco R. Spruit
Web 2.0-based webstrategies for three different types of organizations. Comput. Hum. Behav. 27(4): 1399-1407 (2011) - [c11]Robin Krens, Marco R. Spruit, Nathalie Urbanus-van Laar:
Information Security in Health Care - Evaluation with Health Professionals. HEALTHINF 2011: 61-69 - [c10]Robin Krens, Marco Spruit
Evaluating Information Security Effectiveness with Health Professionals. BIOSTEC (Selected Papers) 2011: 324-334 - [c9]S. F. J. Otten, Marco R. Spruit:
Linguistic Engineering and its Applicability to Business Intelligence - Towards an Integrated Framework. KDIR 2011: 460-464 - [c8]Timo Polman, Marco R. Spruit
Integrating Knowledge Engineering and Data Mining in e-commerce Fraud Prediction. WSKS 2011: 460-466 - 2010
- [j2]Arjen Vleugel, Marco R. Spruit
Historical Data Analysis through Data Mining From an Outsourcing Perspective: The Three-Phases Model. Int. J. Bus. Intell. Res. 1(3): 42-65 (2010) - [c7]Willem Bekkers, Marco R. Spruit, Inge van de Weerd, Rob van Vliet, Alain Mahieu:
A Situational Assessment Method for Software Product Management. ECIS 2010: 22 - [c6]Willem Bekkers, Inge van de Weerd
A Framework for Process Improvement in Software Product Management. EuroSPI 2010: 1-12 - [c5]Catalina Sacu, Marco R. Spruit:
BIDM - The Business Intelligence Development Model. ICEIS (1) 2010: 288-293 - [c4]Giorgos Kormaris, Marco R. Spruit
Bridging the Gap between Web 2.0 Technologies and Social Computing Principles. NDT (1) 2010: 430-443 - [c3]Willem Bekkers, Marco R. Spruit
The Situational Assessment Method put to the test: Improvements based on case studies. IWSPM 2010: 7-16
2000 – 2009
- 2008
- [c2]Theodoros Levantakis, Remko Helms
Developing a Reference Method for Knowledge Auditing. PAKM 2008: 147-159 - [c1]Senoaji Wijaya, Marco R. Spruit
Webstrategy Formulation: Benefiting from Web 2.0 Concepts to Deliver Business Values. WSKS (1) 2008: 373-384 - 2006
- [j1]Marco René Spruit
Measuring Syntactic Variation in Dutch Dialects. Lit. Linguistic Comput. 21(4): 493-506 (2006)
Coauthor Index
Floor Scheepers
aka: Floortje Scheepers
aka: Floortje Scheepers
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