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- extended-abstractAugust 2024
European Data Science Day: KDD-2024 Special Day
KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 6697–6698https://doi.org/10.1145/3637528.3673868The European Data Science Day offers a full day focused exclusively on innovative KDD-relevant research and development projects from national and regional funding programs, as well as corporate, start-up, and nonprofit channels. The idea is to bring ...
- extended-abstractAugust 2024
Health Day: Building Health AI Ecosystem: From Data Harmonization to Knowledge Discovery
KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 6691–6692https://doi.org/10.1145/3637528.3673866The ACM KDD 2024 Health Day theme, "Building Health AI Ecosystem: From Data Harmonization to Knowledge Discovery," highlights the transformative potential of AI-driven ecosystems in healthcare, translational biomedical research, and basic biological ...
- abstractAugust 2024
RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery
- Chuxu Zhang,
- Dongkuan (DK) Xu,
- Kaize Ding,
- Jundong Li,
- Mojan Javaheripi,
- Subhabrata Mukherjee,
- Nitesh V. Chawla,
- Huan Liu
KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 6749–6750https://doi.org/10.1145/3637528.3671487Modern machine learning techniques, particularly deep learning, have showcased remarkable efficacy across numerous knowledge discovery and data mining applications. However, the advancement of many of these methods is frequently impeded by resource ...
- research-articleSeptember 2024
Mining Semantic Relations in Data References to Understand the Roles of Research Data in Academic Literature
JCDL '23: Proceedings of the 2023 ACM/IEEE Joint Conference on Digital LibrariesPages 215–227https://doi.org/10.1109/JCDL57899.2023.00039Research data serves important roles in scientific discovery and academic innovation. To appropriately assign credit for data work and to measure the value of research data, it is essential to articulate how data are actually used in research. We ...
- research-articleApril 2024
CACTUS: A Comprehensive Abstraction and Classification Tool for Uncovering Structures
ACM Transactions on Intelligent Systems and Technology (TIST), Volume 15, Issue 3Article No.: 46, Pages 1–23https://doi.org/10.1145/3649459The availability of large datasets is providing the impetus for driving many current artificial intelligent developments. However, specific challenges arise in developing solutions that exploit small datasets, mainly due to practical and cost-effective ...
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- research-articleMay 2024
A novel hierarchy-based knowledge discovery framework for elucidating human aging-related phenotypic abnormalities
SAC '24: Proceedings of the 39th ACM/SIGAPP Symposium on Applied ComputingPages 515–522https://doi.org/10.1145/3605098.3635943Aging is a complex biological process involving multiple genes that are also related to phenotypic abnormalities. However, the micro view of the associations between aging and human phenotypic abnormalities is still under-studied. We propose a novel ...
- research-articleFebruary 2024
Totally-ordered Sequential Rules for Utility Maximization
ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 18, Issue 4Article No.: 80, Pages 1–23https://doi.org/10.1145/3628450High-utility sequential pattern mining (HUSPM) is a significant and valuable activity in knowledge discovery and data analytics with many real-world applications. In some cases, HUSPM can not provide an excellent measure to predict what will happen. High-...
- research-articleNovember 2023
On Threshold Correlation with Application to Studying the Relationship of Temperature and Relative Humidity
GeoAI '23: Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge DiscoveryPages 53–62https://doi.org/10.1145/3615886.3627741Finding thresholds for continuous variables is an important problem in many applications. For example, when studying the relationship of air pollution and lung diseases it is important to obtain findings such as: "PM2.5 concentrations above 40μg/m3 are ...
- research-articleFebruary 2024
Rare Association Rule Mining Based on Reinforcement Learning
ICCPR '23: Proceedings of the 2023 12th International Conference on Computing and Pattern RecognitionPages 79–86https://doi.org/10.1145/3633637.3633669In some cases, it is more important to discover rare association rules than frequent itemsets. Unique rules represent rare cases, activities or events in real-world applications. Extracting critical activities from massive regular data is crucial. In ...
- research-articleSeptember 2023
Data Discovery for the SDGs: A Systematic Rule-based Approach
GoodIT '23: Proceedings of the 2023 ACM Conference on Information Technology for Social GoodPages 384–391https://doi.org/10.1145/3582515.3609557In 2015, the United Nations put forward 17 Sustainable Development Goals (SDGs) to be achieved by 2030, where data has been promoted as a focus to innovating sustainable development and as a means to measuring progress towards achieving the SDGs. In ...
- ArticleAugust 2023
Bitwise Vertical Mining of Minimal Rare Patterns
- Elieser Capillar,
- Chowdhury Abdul Mumin Ishmam,
- Carson K. Leung,
- Adam G. M. Pazdor,
- Prabhanshu Shrivastava,
- Ngoc Bao Chau Truong
AbstractRare patterns are essential forms of patterns in many real-world applications such as interpretation of biological data, mining of rare association rules between diseases and their causes, detection of anomalies. However, discovering rare patterns ...
- abstractAugust 2023
RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery
- Chuxu Zhang,
- Dongkuan (KD) Xu,
- Mojan Javaheripi,
- Subhabrata Mukherjee,
- Lingfei Wu,
- Yinglong Xia,
- Jundong Li,
- Meng Jiang,
- Yanzhi Wang
KDD '23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 5901–5902https://doi.org/10.1145/3580305.3599228Modern machine learning techniques, especially deep neural networks, have demonstrated excellent performance for various knowledge discovery and data mining applications. However, the development of many of these techniques still encounters resource ...
- extended-abstractJuly 2023
Knowledge Discovery from Unstructured Data in Financial Services (KDF) Workshop
- Sameena Shah,
- Xiaodan Zhu,
- Wenhu Chen,
- Manling Li,
- Armineh Nourbakhsh,
- Xiaomo Liu,
- Zhiqiang Ma,
- Charese Smiley,
- Yulong Pei,
- Akshat Gupta
SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information RetrievalPages 3464–3467https://doi.org/10.1145/3539618.3591924Knowledge discovery from unstructured data, including business documents, web content, and news articles, has been a key AI challenge for the financial services industry. Comprehending these corpora and discovering knowledge from them, which could be ...
- short-paperJuly 2023
Searching for Reliable Facts over a Medical Knowledge Base
SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information RetrievalPages 3205–3209https://doi.org/10.1145/3539618.3591822This work presents CoreKB, a Web platform for searching reliable facts over gene expression-cancer associations Knowledge Base (KB). It provides search capabilities over an RDF graph using natural language queries, structured facets, and autocomplete. ...
- research-articleApril 2023
Efficient indexing and retrieval of patient information from the big data using MapReduce framework and optimisation
Journal of Information Science (JIPP), Volume 49, Issue 2Pages 500–518https://doi.org/10.1177/01655515211013708Large and complex data becomes a valuable resource in biomedical discovery, which is highly facilitated to increase the scientific resources for retrieving the helpful information. However, indexing and retrieving the patient information from the ...
- research-articleMarch 2024
Knowledge Discovery to Improve Students’ Class Achievement Using Questionnaires
Procedia Computer Science (PROCS), Volume 225, Issue CPages 1862–1871https://doi.org/10.1016/j.procs.2023.10.176AbstractThis study determines whether students were able to acquire the desired level of knowledge and skills, by using class evaluation questionnaires which are administered after each class. The questionnaire serves many purposes, but the more questions ...
- research-articleJanuary 2023
A Filter-APOSD approach for feature selection and linguistic knowledge discovery
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 44, Issue 3Pages 4013–4028https://doi.org/10.3233/JIFS-222715The development of natural language processing promotes the progress of general linguistic studies. Based on the selected features and the extracted rules for word sense disambiguation (WSD), some valuable knowledge of the relations between linguistic ...
- research-articleJanuary 2023
An optimised soft computing-based approach for multimedia data mining
International Journal of Business Intelligence and Data Mining (IJBIDM), Volume 22, Issue 4Pages 410–433https://doi.org/10.1504/ijbidm.2023.130599Multimedia mining is a sub-field of information mining which is exploited to discover fascinating data of certain information from interactive media information bases. The information mining is ordered into two general classifications, such as – static ...
- posterOctober 2022
An Inertial Representation of Search Results
VINCI '22: Proceedings of the 15th International Symposium on Visual Information Communication and InteractionArticle No.: 19, Pages 1–2https://doi.org/10.1145/3554944.3554963Search engines are ubiquitous in academic research and modern internet culture, but most only parse information into large blocks of text. This paper explores a visual search representation that encodes publication metadata in an inertial, interactive, ...
- abstractAugust 2022
DI-2022: The Third Document Intelligence Workshop
KDD '22: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data MiningPages 4890–4891https://doi.org/10.1145/3534678.3542919Business documents are central to the operation of all organizations, and they come in all shapes and sizes: project reports, planning documents, technical specifications, financial statements, meeting minutes, legal agreements, contracts, resumes, ...