All Stories

  1. Personalized privacy-preserving semi-centralized recommendation system in a social network
  2. Social network mining and analytics for quantitative patterns
  3. Discovering Interesting Patterns from Hypergraphs
  4. Discovery of Patent Influence with Directed Acyclic Graph Network Analysis
  5. Q-Eclat: Vertical Mining of Interesting Quantitative Patterns
  6. ScaleSFL
  7. A Web Intelligence Solution to Support Recommendations from the Web
  8. Interpretable Mining of Influential Patterns from Sparse Web
  9. Compressing and mining social network data
  10. A mathematical model for friend discovery from dynamic social graphs
  11. A New Approach for Mining Correlated Frequent Subgraphs
  12. Explainable Data Analytics for Disease and Healthcare Informatics
  13. Compression for Very Sparse Big Social Data
  14. Data science for healthcare predictive analytics
  15. Cognitive-Based Hybrid Collaborative Filtering with Rating Scaling on Entropy to Defend Shilling Influence
  16. Constrained Big Data Mining in an Edge Computing Environment
  17. Constrained Frequent Pattern Mining from Big Data Via Crowdsourcing
  18. Supporting Social Information Discovery from Big Uncertain Social Key-Value Data via Graph-Like Metaphors
  19. WFSM-MaxPWS: An Efficient Approach for Mining Weighted Frequent Subgraphs from Edge-Weighted Graph Databases
  20. Effective Classification of Ground Transportation Modes for Urban Data Mining in Smart Cities
  21. Scalable Vertical Mining for Big Data Analytics of Frequent Itemsets
  22. Convertible Constraints
  23. Monotone Constraints
  24. Succinct Constraints
  25. Anti-monotone Constraints
  26. Frequent Itemset Mining with Constraints
  27. Big Data Analysis and Mining
  28. Efficient Mining of 'Following' Patterns from Very Big but Sparse Social Networks
  29. Monotone Constraints
  30. Convertible Constraints
  31. Anti-monotone Constraints
  32. Succinct Constraints
  33. Finding efficiencies in frequent pattern mining from big uncertain data
  34. Mining interesting patterns from uncertain databases
  35. Big data mining of social networks for friend recommendation
  36. Mining ‘following’ patterns from big sparse social networks
  37. PyramidViz: Visual Analytics and Big Data Visualization for Frequent Patterns
  38. A Data Science Model for Big Data Analytics of Frequent Patterns
  39. Interactive mining of diverse social entities
  40. Management of Distributed Big Data for Social Networks
  41. Parallel social network mining for interesting ‘following’ patterns
  42. B-mine: Frequent Pattern Mining and Its Application to Knowledge Discovery from Social Networks
  43. Knowledge Discovery from Social Graph Data
  44. Computing Theoretically-Sound Upper Bounds to Expected Support for Frequent Pattern Mining Problems over Uncertain Big Data
  45. Clickstream Prediction Using Sequential Stream Mining Techniques with Markov Chains
  46. Data Mining Meets HCI: Data and Visual Analytics of Frequent Patterns
  47. Mining Uplink-Downlink User Association in Wireless Heterogeneous Networks
  48. Frequent Itemset Mining with Constraints
  49. A Data Analytic Algorithm for Managing, Querying, and Processing Uncertain Big Data in Cloud Environments
  50. Efficiency Improvements in Social Network Communication via MapReduce
  51. Stock Price Prediction in Undirected Graphs Using a Structural Support Vector Machine
  52. A new framework for mining frequent interaction patterns from meeting databases
  53. Message from the CBDCom 2015 Program Chairs
  54. High-Recall Information Retrieval from Linked Big Data
  55. Similarities of Frequent Following Patterns and Social Entities
  56. Big Data Mining Applications and Services
  57. FIMaaS
  58. Probabilistic Frequent Pattern Mining by PUH-Mine
  59. Balancing Tree Size and Accuracy in Fast Mining of Uncertain Frequent Patterns
  60. Big Data Analytics of Social Networks for the Discovery of “Following” Patterns
  61. Edge-based Mining of Frequent Subgraphs from Graph Streams
  62. Approximation to Expected Support of Frequent Itemsets in Mining Probabilistic Sets of Uncertain Data
  63. Mining Popular Patterns: A Novel Mining Problem and Its Application to Static Transactional Databases and Dynamic Data Streams
  64. Reducing Noises for Recall-Oriented Patent Retrieval
  65. Fast Algorithms for Frequent Itemset Mining from Uncertain Data
  66. A Business Intelligence Solution for Frequent Pattern Mining on Social Networks
  67. Discovery of Really Popular Friends from Social Networks
  68. A Data Science Solution for Mining Interesting Patterns from Uncertain Big Data
  69. DISC: Efficient Uncertain Frequent Pattern Mining with Tightened Upper Bounds
  70. Mining constrained frequent itemsets from distributed uncertain data
  71. Reducing the Search Space for Big Data Mining for Interesting Patterns from Uncertain Data
  72. Distributed Uncertain Data Mining for Frequent Patterns Satisfying Anti-monotonic Constraints
  73. Interactive Mining of Strong Friends from Social Networks and Its Applications in E-Commerce
  74. Interactive discovery of influential friends from social networks
  75. Uncertain Frequent Pattern Mining
  76. A machine learning approach for stock price prediction
  77. Sports Data Mining: Predicting Results for the College Football Games
  78. Mining Interesting “Following” Patterns from Social Networks
  79. A Tree-based Algorithm for Mining Diverse Social Entities
  80. Tightening Upper Bounds to the Expected Support for Uncertain Frequent Pattern Mining
  81. Effectively and Efficiently Mining Frequent Patterns from Dense Graph Streams on Disk
  82. Efficient Frequent Itemset Mining from Dense Data Streams
  83. BLIMP: A Compact Tree Structure for Uncertain Frequent Pattern Mining
  84. BigSAM: Mining Interesting Patterns from Probabilistic Databases of Uncertain Big Data
  85. A Scalable Data Analytics Algorithm for Mining Frequent Patterns from Uncertain Data
  86. Finding groups of friends who are significant across multiple domains in social networks
  87. Finding Diverse Friends in Social Networks
  88. Interactive Visual Analytics of Databases and Frequent Sets
  89. Stream Mining of Frequent Patterns from Delayed Batches of Uncertain Data
  90. Mining Frequent Itemsets from Sparse Data Streams in Limited Memory Environments
  91. Mining Frequent Patterns from Uncertain Data with MapReduce for Big Data Analytics
  92. Discovering Frequent Patterns from Uncertain Data Streams with Time-Fading and Landmark Models
  93. PUF-Tree: A Compact Tree Structure for Frequent Pattern Mining of Uncertain Data
  94. Stream mining of frequent sets with limited memory
  95. Mining Frequent Patterns from Human Interactions in Meetings Using Directed Acyclic Graphs
  96. Finding Popular Friends in Social Networks
  97. DIFSoN: Discovering influential friends from social networks
  98. A Network-Flow Based Influence Propagation Model for Social Networks
  99. RadialViz: An Orientation-Free Frequent Pattern Visualizer
  100. Mining Social Networks for Significant Friend Groups
  101. Mining probabilistic datasets vertically
  102. Mining Popular Patterns from Transactional Databases
  103. Fast Tree-Based Mining of Frequent Itemsets from Uncertain Data
  104. Efficiently Compressing OLAP Data Cubes via R-Tree Based Recursive Partitions
  105. Efficient Fuzzy Ranking for Keyword Search on Graphs
  106. A new class of constraints for constrained frequent pattern mining
  107. A constrained frequent pattern mining system for handling aggregate constraints
  108. Visually Contrast Two Collections of Frequent Patterns
  109. FpMapViz: A Space-Filling Visualization for Frequent Patterns
  110. Finding Strong Groups of Friends among Friends in Social Networks
  111. Mobile Web Navigation in Digital Ecosystems Using Rooted Directed Trees
  112. Mining uncertain data
  113. Visual Analytics of Social Networks: Mining and Visualizing Co-authorship Networks
  114. Improved Travel Time Prediction Algorithms for Intelligent Transportation Systems
  115. Frequent Pattern Mining from Time-Fading Streams of Uncertain Data
  116. Frequent itemset mining of uncertain data streams using the damped window model
  117. Equivalence class transformation based mining of frequent itemsets from uncertain data
  118. Distributed Mining of Constrained Frequent Sets from Uncertain Data
  119. Categorical Data Skyline Using Classification Tree
  120. A landmark-model based system for mining frequent patterns from uncertain data streams
  121. Exploring Social Networks: A Frequent Pattern Visualization Approach
  122. Efficient algorithms for the mining of constrained frequent patterns from uncertain data
  123. FpVAT
  124. uCFS2
  125. Mining uncertain data for frequent itemsets that satisfy aggregate constraints
  126. Constrained frequent itemset mining from uncertain data streams
  127. CloseViz
  128. An information and communication technology system to support rural healthcare delivery
  129. Mining of Frequent Itemsets from Streams of Uncertain Data
  130. Structural top-k Web navigation with inclusive query
  131. CHARIOT: A Comprehensive Data Integration and Quality Assurance Model for Agro-Meteorological Data
  132. Frequent Itemset Mining with Constraints
  133. Succinct Constraints
  134. Monotone Constraints
  135. Mining uncertain data for constrained frequent sets
  136. FpViz
  137. Efficient algorithms for mining constrained frequent patterns from uncertain data
  138. Convertible Constraints
  139. Anti-monotone Constraints
  140. AnchorWoman
  141. WiFIsViz: Effective Visualization of Frequent Itemsets
  142. Efficient algorithms for stream mining of constrained frequent patterns in a limited memory environment
  143. A computer-aided change detection system for paediatric acute intracranial haemorrhage
  144. Design and development of a prototype system for detecting abnormal weather observations
  145. Frequent Subgraph Mining from Streams of Uncertain Data
  146. Big Social Network Mining for "Following" Patterns
  147. Efficient Mining of Frequent Patterns from Uncertain Data
  148. An EffectiveMulti-Layer Model for Controlling the Quality of Data
  149. CAMEL: An Intelligent Computational Model for Agro-Meteorological Data
  150. Efficient Mining of Constrained Frequent Patterns from Streams
  151. Distributed Mining of Constrained Patterns from Wireless Sensor Data
  152. DSTree: A Tree Structure for the Mining of Frequent Sets from Data Streams
  153. CanTree: a canonical-order tree for incremental frequent-pattern mining
  154. Efficient Update of Data Warehouse Views with Generalised Referential Integrity Differential Files
  155. An Efficient System for Detecting Outliers from Financial Time Series
  156. Exploitation of Referential Integrity Constraints for Efficient Update of Data Warehouse Views
  157. Dynamic FP-Tree Based Mining of Frequent Patterns Satisfying Succinct Constraints
  158. Efficient dynamic mining of constrained frequent sets
  159. Exploiting succinct constraints using FP-trees
  160. The segment support map
  161. Multiscale Similarity Matching for Subimage Queries of Arbitrary Size
  162. Multiresolution subimage similarity matching for large image databases
  163. Big Data Mining and Analytics
  164. iVAS
  165. Constraint-Based Association Rule Mining
  166. Efficient Mining of Frequent Itemsets from Data Streams
  167. A Tree-Based Approach for Frequent Pattern Mining from Uncertain Data
  168. CanTree: A Tree Structure for Efficient Incremental Mining of Frequent Patterns
  169. Interactive constrained frequent-pattern mining system
  170. OSSM: a segmentation approach to optimize frequency counting
  171. Constraint-Based Association Rule Mining
  172. iVAS
  173. Association Rule Mining in Collaborative Filtering
  174. Analyzing Social Networks to Mine Important Friends
  175. FIsViz: A Frequent Itemset Visualizer