All Stories

  1. FETILDA: An Evaluation Framework for Effective Representations of Long Financial Documents
  2. Toward Subgraph-Guided Knowledge Graph Question Generation With Graph Neural Networks
  3. 22nd International Workshop on Data Mining in Bioinformatics (BIOKDD 2023)
  4. The Information Pathways Hypothesis: Transformers are Dynamic Self-Ensembles
  5. Health-guided recipe recommendation over knowledge graphs
  6. Domain-Specific Keyword Extraction Using Joint Modeling of Local and Global Contextual Semantics
  7. 21th International Workshop on Data Mining in Bioinformatics (BIOKDD 2022)
  8. Global Self-Attention as a Replacement for Graph Convolution
  9. 20th International Workshop on Data Mining in Bioinformatics (BIOKDD 2021)
  10. A Framework for Generating Summaries from Temporal Personal Health Data
  11. Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph
  12. A Comparative Analysis of Temporal Long Text Similarity: Application to Financial Documents
  13. An Efficient Heartbeats Classifier Based on Optimizing Convolutional Neural Network Model
  14. RECIPTOR: An Effective Pretrained Model for Recipe Representation Learning
  15. Figurative language in social media
  16. MALOnt: An Ontology for Malware Threat Intelligence
  17. FoodKG: A Semantics-Driven Knowledge Graph for Food Recommendation
  18. KATE
  19. Graph Data Mining with Arabesque
  20. Rheem
  21. A distributed approach for graph mining in massive networks
  22. Sampling frequent and minimal boolean patterns: theory and application in classification
  23. Learning sequential classifiers from long and noisy discrete-event sequences efficiently
  24. NSIT: Novel Sequence Identification Tool
  25. Trends in computer science research
  26. Approximate graph mining with label costs
  27. ProfileRank
  28. Stochastic subspace search for top-k multi-view clustering
  29. Message from Program Co-chairs
  30. Sampling minimal frequent boolean (DNF) patterns
  31. Graph mining for discovering infrastructure patterns in configuration management databases
  32. Effective graph classification based on topological and label attributes
  33. Characterizing the effectiveness of twitter hashtags to detect and track online population sentiment
  34. A Journey in Pattern Mining
  35. Geofold: Topology-based protein unfolding pathways capture the effects of engineered disulfides on kinetic stability
  36. Infrastructure Pattern Discovery in Configuration Management Databases via Large Sparse Graph Mining
  37. Preface
  38. GRAIL: a scalable index for reachability queries in very large graphs
  39. Calibrated lazy associative classification
  40. Is There a Best Quality Metric for Graph Clusters?
  41. Mining Complex Boolean Expressions for Sequential Equivalence Checking
  42. SimClus: an effective algorithm for clustering with a lower bound on similarity
  43. Structural correlation pattern mining for large graphs
  44. Matrix "Bit" loaded
  45. Prism: An effective approach for frequent sequence mining via prime-block encoding
  46. FlexSnap: Flexible Non-sequential Protein Structure Alignment
  47. Graph indexing for reachability queries
  48. VOGUE
  49. Competence‐conscious associative classification
  50. Proteomic and Phospho-Proteomic Profile of Human Platelets in Basal, Resting State: Insights into Integrin Signaling
  51. Robust partitional clustering by outlier and density insensitive seeding
  52. SPARCL: an effective and efficient algorithm for mining arbitrary shape-based clusters
  53. Clustering with Lower Bound on Similarity
  54. FlexSnap: Flexible Non-sequential Protein Structure Alignment
  55. graphOnt: An ontology based library for conversion from semantic graphs to JUNG
  56. Quantification of Spatial Parameters in 3D Cellular Constructs Using Graph Theory
  57. SPARCL: Efficient and Effective Shape-Based Clustering
  58. An integrated, generic approach to pattern mining: data mining template library
  59. ORIGAMI: A Novel and Effective Approach for Mining Representative Orthogonal Graph Patterns
  60. Introduction to special issue on bioinformatics
  61. The ParTriCluster Algorithm for Gene Expression Analysis
  62. Context shapes: Efficient complementary shape matching for protein–protein docking
  63. PSIST: A scalable approach to indexing protein structures using suffix trees
  64. ORIGAMI: Mining Representative Orthogonal Graph Patterns
  65. Prism: A Primal-Encoding Approach for Frequent Sequence Mining
  66. Xproj
  67. Genome-scale disk-based suffix tree indexing
  68. T ri C luster: Mining Coherent Clusters in Three‐Dimensional Microarray Data
  69. Data Mining in Bioinformatics (BIOKDD)
  70. Clicks: An effective algorithm for mining subspace clusters in categorical datasets
  71. Exploring Similarities Across High-Dimensional Datasets
  72. Lazy Associative Classification
  73. SMOTIF: efficient structured pattern and profile motif search
  74. EXMOTIF: efficient structured motif extraction
  75. Unified Approach to Rooted Tree Mining: Algorithms and Applications
  76. Mining Multiple Data Sources: Local Pattern Analysis
  77. XRules: An effective algorithm for structural classification of XML data
  78. Finding Hidden Group Structure in a Stream of Communications
  79. Generic Pattern Mining Via Data Mining Template Library
  80. Multi-evidence, multi-criteria, lazy associative document classification
  81. CLICKS
  82. Reasoning about sets using redescription mining
  83. The Complexity of Finding Top-Toda-Equivalence-Class Members
  84. Efficiently mining frequent trees in a forest: algorithms and applications
  85. GenMax: An Efficient Algorithm for Mining Maximal Frequent Itemsets
  86. Efficient algorithms for mining closed itemsets and their lattice structure
  87. A facile approach to formation of through-hole porous anodic aluminum oxide film
  88. PSIST: indexing protein structures using suffix trees
  89. SCHISM: a new approach to interesting subspace mining
  90. Towards Generic Pattern Mining
  91. Mining Non-Redundant Association Rules
  92. Predicting protein folding pathways
  93. Mining residue contacts in proteins using local structure predictions
  94. Carpenter
  95. Fast vertical mining using diffsets
  96. Improving spatial locality of programs via data mining
  97. XRules
  98. Special issue on data management in bioinformatics
  99. Parallel Sequence Mining on Shared-Memory Machines
  100. Scalable algorithms for association mining
  101. Parallel and distributed association mining: a survey
  102. Customized Dynamic Load Balancing for a Network of Workstations
  103. CLICKS: Mining Subspace Clusters in Categorical Data via K-Partite Maximal Cliques
  104. SCHISM: A New Approach for Interesting Subspace Mining