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Advances in Knowledge Discovery and Data Mining

Overview of attention for book
Cover of 'Advances in Knowledge Discovery and Data Mining'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Denoising Time Series by Way of a Flexible Model for Phase Space Reconstruction
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    Chapter 2 Distributed Sequential Pattern Mining in Large Scale Uncertain Databases
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    Chapter 3 DeepCare: A Deep Dynamic Memory Model for Predictive Medicine
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    Chapter 4 Indoor Positioning System for Smart Homes Based on Decision Trees and Passive RFID
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    Chapter 5 Deep Feature Extraction from Trajectories for Transportation Mode Estimation
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    Chapter 6 Online Learning for Accurate Real-Time Map Matching
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    Chapter 7 Multi-hypergraph Incidence Consistent Sparse Coding for Image Data Clustering
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    Chapter 8 Robust Multi-view Manifold Ranking for Image Retrieval
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    Chapter 9 Image Representation Optimization Based on Locally Aggregated Descriptors
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    Chapter 10 Reusing Extracted Knowledge in Genetic Programming to Solve Complex Texture Image Classification Problems
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    Chapter 11 Personal Credit Profiling via Latent User Behavior Dimensions on Social Media
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    Chapter 12 Linear Upper Confidence Bound Algorithm for Contextual Bandit Problem with Piled Rewards
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    Chapter 13 Incremental Hierarchical Clustering of Stochastic Pattern-Based Symbolic Data
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    Chapter 14 Computing Hierarchical Summary of the Data Streams
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    Chapter 15 Unsupervised Parameter Estimation for One-Class Support Vector Machines
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    Chapter 16 Frequent Pattern Outlier Detection Without Exhaustive Mining
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    Chapter 17 Ensembles of Interesting Subgroups for Discovering High Potential Employees
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    Chapter 18 Dynamic Grouped Mixture Models for Intermittent Multivariate Sensor Data
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    Chapter 19 Parallel Discord Discovery
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    Chapter 20 Dboost: A Fast Algorithm for DBSCAN-based Clustering on High Dimensional Data
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    Chapter 21 A Precise and Robust Clustering Approach Using Homophilic Degrees of Graph Kernel
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    Chapter 22 Constraint Based Subspace Clustering for High Dimensional Uncertain Data
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    Chapter 23 A Clustering-Based Framework for Incrementally Repairing Entity Resolution
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    Chapter 24 Adaptive Seeding for Gaussian Mixture Models
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    Chapter 25 A Greedy Algorithm to Construct L1 Graph with Ranked Dictionary
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    Chapter 26 A Rule Based Open Information Extraction Method Using Cascaded Finite-State Transducer
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    Chapter 27 Active Learning Based Entity Resolution Using Markov Logic
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    Chapter 28 Modeling Adversarial Learning as Nested Stackelberg Games
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    Chapter 29 Fast and Semantic Measurements on Collaborative Tagging Quality
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    Chapter 30 Matrices, Compression, Learning Curves: Formulation, and the GroupNteach Algorithms
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    Chapter 31 Privacy Aware K-Means Clustering with High Utility
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    Chapter 32 Secure k-NN Query on Encrypted Cloud Data with Limited Key-Disclosure and Offline Data Owner
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    Chapter 33 Hashing-Based Distributed Multi-party Blocking for Privacy-Preserving Record Linkage
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    Chapter 34 Enabling Hierarchical Dirichlet Processes to Work Better for Short Texts at Large Scale
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    Chapter 35 Query-Focused Multi-document Summarization Based on Concept Importance
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    Chapter 36 Mirror on the Wall: Finding Similar Questions with Deep Structured Topic Modeling
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    Chapter 37 An Efficient Dynamic Programming Algorithm for STR-IC-STR-IC-LCS Problem
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    Chapter 38 Efficient Page-Level Data Extraction via Schema Induction and Verification
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    Chapter 39 Transfer-Learning Based Model for Reciprocal Recommendation
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    Chapter 40 Enhanced SVD for Collaborative Filtering
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    Chapter 41 Social Group Based Video Recommendation Addressing the Cold-Start Problem
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    Chapter 42 FeRoSA: A Faceted Recommendation System for Scientific Articles
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    Chapter 43 Dual Similarity Regularization for Recommendation
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    Chapter 44 Collaborative Deep Ranking: A Hybrid Pair-Wise Recommendation Algorithm with Implicit Feedback
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
2 news outlets
facebook
2 Facebook pages

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
19 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Advances in Knowledge Discovery and Data Mining
Published by
Lecture notes in computer science, April 2016
DOI 10.1007/978-3-319-31750-2
ISBNs
978-3-31-931749-6, 978-3-31-931750-2
Authors

Shah, Zubair, Mahmood, Abdun Naser, Barlow, Michael, Iqbal, Muhammad, Xue, Bing, Zhang, Mengjie, Ghafoori, Zahra, Rajasegarar, Sutharshan, Erfani, Sarah M., Karunasekera, Shanika, Leckie, Christopher A., Huang, Tian, Zhu, Yongxin, Mao, Yishu, Li, Xinyang, Liu, Mengyun, Wu, Yafei, Ha, Yajun, Dobbie, Gillian

Editors

James Bailey, Latifur Khan, Takashi Washio, Gill Dobbie, Joshua Zhexue Huang, Ruili Wang

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 26%
Student > Master 3 16%
Researcher 2 11%
Student > Doctoral Student 1 5%
Unknown 8 42%
Readers by discipline Count As %
Computer Science 4 21%
Engineering 2 11%
Linguistics 1 5%
Business, Management and Accounting 1 5%
Chemistry 1 5%
Other 2 11%
Unknown 8 42%

Attention Score in Context

This research output has an Altmetric Attention Score of 15. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 June 2017.
All research outputs
#769,152
of 11,364,689 outputs
Outputs from Lecture notes in computer science
#261
of 7,175 outputs
Outputs of similar age
#30,909
of 259,612 outputs
Outputs of similar age from Lecture notes in computer science
#10
of 142 outputs
Altmetric has tracked 11,364,689 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,175 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 259,612 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 142 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.