Huynh et al., 2020
| Publication | Publication Date | Title |
|---|---|---|
| Fahland | Process mining over multiple behavioral dimensions with event knowledge graphs | |
| Kosmopoulos et al. | Evaluation measures for hierarchical classification: a unified view and novel approaches | |
| Zida et al. | Efficient mining of high-utility sequential rules | |
| Prajapati et al. | Interesting association rule mining with consistent and inconsistent rule detection from big sales data in distributed environment | |
| Peng et al. | mHUIMiner: A fast high utility itemset mining algorithm for sparse datasets | |
| EP2901276B1 (en) | Modernization of legacy software systems based on modeled dependencies | |
| Olorisade et al. | A critical analysis of studies that address the use of text mining for citation screening in systematic reviews | |
| Spangenberg et al. | Evaluating new approaches of big data analytics frameworks | |
| Nguyen et al. | A parallel algorithm for mining high utility itemsets | |
| Dinh et al. | Mining periodic high utility sequential patterns | |
| Singh et al. | RDD-Eclat: approaches to parallelize Eclat algorithm on spark RDD framework | |
| Safari et al. | A generic approach to the verification of the permutation property of sequential and parallel swap-based sorting algorithms | |
| Bouhamoum et al. | Incremental schema discovery at scale for RDF data | |
| Huynh et al. | Sequential pattern mining using idlists | |
| Bouhamoum et al. | Scalable schema discovery for RDF data | |
| Saleti | Incremental mining of high utility sequential patterns using MapReduce paradigm | |
| Wang et al. | HUIL-TN & HUI-TN: Mining high utility itemsets based on pattern-growth | |
| Kumar et al. | High utility pattern mining distributed algorithm based on spark RDD | |
| Nguyen et al. | Efficient method for mining high-utility itemsets using high-average utility measure | |
| Bergamaschi et al. | Enhancing big data exploration with faceted browsing | |
| Anirudh et al. | An efficient map-reduce framework to mine periodic frequent patterns | |
| Gera et al. | Detecting and generating overlapping nested communities | |
| Bureva et al. | Generalized net model simulation of cluster analysis using CLIQUE: clustering in quest | |
| Can et al. | A novel sequential pattern mining algorithm for large scale data sequences | |
| Wu et al. | Gds: General distributed strategy for functional dependency discovery algorithms |