Please use this identifier to cite or link to this item:
http://localhost/handle/Hannan/1653
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | ADMA (Conference) ; (13th : ; 2017 : ; Singapore) ; | en_US |
| dc.contributor.author | Cong, Gao, ; editor ; | en_US |
| dc.contributor.author | Peng, Wen-Chih, ; 1973- ; editor ; | en_US |
| dc.contributor.author | Zhang, Wei Emma, ; editor ; | en_US |
| dc.contributor.author | Li, Chengliang, ; editor ; | en_US |
| dc.contributor.author | Sun, Aixin, ; editor ; | en_US |
| dc.date.accessioned | 2013 | en_US |
| dc.date.accessioned | 2020-05-17T08:30:47Z | - |
| dc.date.available | 2020-05-17T08:30:47Z | - |
| dc.date.issued | 2017 | en_US |
| dc.identifier.isbn | 9783319691794 ; (electronic bk.) ; | en_US |
| dc.identifier.isbn | 3319691791 ; (electronic bk.) ; | en_US |
| dc.identifier.isbn | 9783319691787 ; (print) ; | en_US |
| dc.identifier.uri | http://localhost/handle/Hannan/1653 | - |
| dc.description | en_US | |
| dc.description | Available to OhioLINK libraries ; | en_US |
| dc.description | Ohio Library and Information Network ; | en_US |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description | Printed edition: ; 9783319691787 ; | en_US |
| dc.description.statementofresponsibility | edited by Gao Cong, Wen-Chih Peng, Wei Emma Zhang, Chengliang Li, Aixin Sun | en_US |
| dc.description.tableofcontents | Database and Distributed Machine Learning -- Querying and Mining Strings Made Easy Distributed Training Large-Scale Deep Architectures -- Fault Detection and Localization in Distributed Systems using Recurrent Convolutional Neural Networks -- Discovering Group Skylines with Constraints by Early Candidate Pruning -- Comparing MapReduce-Based k-NN Similarity Joins On Hadoop For High-dimensional Data -- A Higher-Fidelity Frugal Quantile Estimator -- Recommender System -- Fair Recommendations Through Diversity Promotion -- A Hierarchical Bayesian Factorization Model for Implicit and Explicit Feedback Data -- Empirical Analysis of Factors Influencing Twitter Hashtag Recommendation on Detected Communities -- Group Recommender Model Based on Preference Interaction -- Identification of Grey Sheep Users By Histogram Intersection In Recommender Systems -- Social Network and Social Media -- A Feature-based Approach for the Redefined Link Prediction Problem in Signed Networks -- From Mutual Friends to Overlapping Community Detection: A Non-negative Matrix Factorization Approach -- Calling for Response: Automatically Distinguishing Situation-aware Tweets During Crises -- Efficient Revenue Maximization for Viral Marketing in Social Networks -- Generating Life Course Trajectory Sequences with Recurrent Neural Networks and Application to Early Detection on Social Disadvantage -- FRISK: A Multilingual Approach to Find twitteR InterestS via wiKipedia -- A Solution to Tweet-Based User Identification across Online Social Networks -- Machine Learning -- Supervised Feature Selection Algorithm Based on Low-Rank and Manifold Learning -- Mixed Membership Sparse Gaussian Conditional Random Fields -- Effects of Dynamic Subspacing in Random Forest -- Diversity and Locality in Multi-Component, Multi-Layer Predictive Systems: A Mutual Information Based Approach -- Hybrid Subspace Mixture Models For Prediction and Anomaly Detection in High Dimensions -- Classification and Clustering Methods -- StruClus: Scalable Structural Graph Set Clustering with Representative Sampling -- Employing Hierarchical Clustering and Reinforcement Learning for Attribute-based Zero-Shot Classification -- Environmental Sound Recognition using Masked Conditional Neural Networks -- Analyzing Performance of Classification Techniques in Detecting Epileptic Seizure -- A Framework for Clustering and Dynamic Maintenance of XML Documents -- Language-independent Twitter Classification using Character-based Convolutional Networks -- Behavior Modeling and User Profiling -- Modeling Check-in Behavior with Geographical Neighborhood Influence of Venues -- An empirical study on collective online behaviors of extremist supporters. -Your Moves, Your Device: Establishing Behavior Profiles using Tensors -- An Approach for Identifying Author Profiles of Blogs -- Generating Topics of Interests for Research Communities -- An Evolutionary Approach for Learning Conditional Preference Network from Inconsistent Examples -- Bioinformatic and Medical Data Analysis -- Predicting Clinical Outcomes of Alzheimer's Disease from Complex Brain Networks -- Doctoral Advisor or Medical Condition: Towards Entity-specific Rankings of Knowledge Base Properties -- Multiclass Lung Cancer Diagnosis by Gene Expression Programming and Microarray Datasets -- Drug-drug Interaction Extraction via Recurrent Neural Network with Multiple Attention Layers -- Spatio-temporal Data -- People-Centric Mobile Crowdsensing Platform for Urban Design -- Long-Term User Location Prediction Using Deep Learning and Periodic Pattern Mining -- An Intelligent Weighted Fuzzy Time Series Model Based on A Sine-Cosine Adaptive Human Learning Optimization Algorithm and Its Application to Financial Markets Forecasting -- Mobile Robot Scheduling with Multiple Trips and Time Windows -- Natural Language Processing and Text Mining -- Feature Analysis for Duplicate Detection in Programming QA Communities -- A Joint Human/Machine Process for Coding Events and Conflict Drivers -- Quality Prediction of Newly Proposed Questions in CQA by Leveraging Weakly Supervised Learning -- Improving Chinese Sentiment Analysis via Segmentation-based Representation Using Parallel CNN -- Entity Recognition by Distant Supervision with Soft List Constraint -- Structured Sentiment Analysis -- Data Mining Applications -- Improving Real-Time Bidding Using a Constrained Markov Decision Process -- PowerLSTM: Power Demand Forecasting Using Long Short-Term Memory Neural Network -- Identifying Unreliable Sensors Without a Knowledge of the Ground Truth in Deceptive Environments -- Color-sketch simulator: a guide for color-based visual known-item search -- Applications -- Making Use of External Company Data to Improve the Classification of Bank Transactions -- Mining Load Profile Patterns for Australian Electricity Consumers -- STA: a Spatio-temporal Thematic Analytics Framework for Urban Ground Sensing -- Privacy and Utility Preservation for Location Data Using Stay Region Analysis -- Location-aware Human Activity Recognition -- Demos -- SWYSWYK: a new Sharing Paradigm for the Personal Cloud -- Tools and Infrastructure for Supporting Enterprise Knowledge Graphs -- An Interactive Web-based Toolset for Knowledge Discovery from Short Text Log Data -- Carbon: Forecasting Civil Unrest Events by Monitoring News and Social Media -- A system for Querying and Analyzing Urban Regions -- Detect tracking behavior among trajectory data ; | en_US |
| dc.format.extent | 1 online resource (xvii, 881 pages) : ; illustrations ; | en_US |
| dc.format.extent | International conference proceedings ; | en_US |
| dc.format.extent | Includes author index ; | en_US |
| dc.publisher | Springer, | en_US |
| dc.relation.ispartofseries | Lecture notes in computer science, ; 0302-9743 ; ; 10604 ; | en_US |
| dc.relation.ispartofseries | Lecture notes in artificial intelligence ; | en_US |
| dc.relation.ispartofseries | LNCS sublibrary. SL 7, Artificial intelligence ; | en_US |
| dc.relation.ispartofseries | Lecture notes in computer science ; ; 10604. ; 0302-9743 ; | en_US |
| dc.relation.ispartofseries | Lecture notes in computer science. ; Lecture notes in artificial intelligence ; | en_US |
| dc.relation.ispartofseries | LNCS sublibrary. ; SL 7, ; Artificial intelligence ; | en_US |
| dc.relation.haspart | 9783319691794.pdf | en_US |
| dc.subject | Data mining ; Congresses ; | en_US |
| dc.title | Advanced data mining and applications : | en_US |
| dc.title.alternative | 13th International Conference, ADMA 2017, Singapore, November 5-6, 2017, Proceedings / | en_US |
| dc.title.alternative | ADMA 2017 ; | en_US |
| dc.type | Book | en_US |
| dc.publisher.place | Cham, Switzerland : | en_US |
| dc.classification.lc | QA76.9.D343 ; | en_US |
| Appears in Collections: | مهندسی فناوری اطلاعات | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 9783319691794.pdf | 57.05 MB | Adobe PDF |  Preview File |
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | ADMA (Conference) ; (13th : ; 2017 : ; Singapore) ; | en_US |
| dc.contributor.author | Cong, Gao, ; editor ; | en_US |
| dc.contributor.author | Peng, Wen-Chih, ; 1973- ; editor ; | en_US |
| dc.contributor.author | Zhang, Wei Emma, ; editor ; | en_US |
| dc.contributor.author | Li, Chengliang, ; editor ; | en_US |
| dc.contributor.author | Sun, Aixin, ; editor ; | en_US |
| dc.date.accessioned | 2013 | en_US |
| dc.date.accessioned | 2020-05-17T08:30:47Z | - |
| dc.date.available | 2020-05-17T08:30:47Z | - |
| dc.date.issued | 2017 | en_US |
| dc.identifier.isbn | 9783319691794 ; (electronic bk.) ; | en_US |
| dc.identifier.isbn | 3319691791 ; (electronic bk.) ; | en_US |
| dc.identifier.isbn | 9783319691787 ; (print) ; | en_US |
| dc.identifier.uri | http://localhost/handle/Hannan/1653 | - |
| dc.description | en_US | |
| dc.description | Available to OhioLINK libraries ; | en_US |
| dc.description | Ohio Library and Information Network ; | en_US |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description | Printed edition: ; 9783319691787 ; | en_US |
| dc.description.statementofresponsibility | edited by Gao Cong, Wen-Chih Peng, Wei Emma Zhang, Chengliang Li, Aixin Sun | en_US |
| dc.description.tableofcontents | Database and Distributed Machine Learning -- Querying and Mining Strings Made Easy Distributed Training Large-Scale Deep Architectures -- Fault Detection and Localization in Distributed Systems using Recurrent Convolutional Neural Networks -- Discovering Group Skylines with Constraints by Early Candidate Pruning -- Comparing MapReduce-Based k-NN Similarity Joins On Hadoop For High-dimensional Data -- A Higher-Fidelity Frugal Quantile Estimator -- Recommender System -- Fair Recommendations Through Diversity Promotion -- A Hierarchical Bayesian Factorization Model for Implicit and Explicit Feedback Data -- Empirical Analysis of Factors Influencing Twitter Hashtag Recommendation on Detected Communities -- Group Recommender Model Based on Preference Interaction -- Identification of Grey Sheep Users By Histogram Intersection In Recommender Systems -- Social Network and Social Media -- A Feature-based Approach for the Redefined Link Prediction Problem in Signed Networks -- From Mutual Friends to Overlapping Community Detection: A Non-negative Matrix Factorization Approach -- Calling for Response: Automatically Distinguishing Situation-aware Tweets During Crises -- Efficient Revenue Maximization for Viral Marketing in Social Networks -- Generating Life Course Trajectory Sequences with Recurrent Neural Networks and Application to Early Detection on Social Disadvantage -- FRISK: A Multilingual Approach to Find twitteR InterestS via wiKipedia -- A Solution to Tweet-Based User Identification across Online Social Networks -- Machine Learning -- Supervised Feature Selection Algorithm Based on Low-Rank and Manifold Learning -- Mixed Membership Sparse Gaussian Conditional Random Fields -- Effects of Dynamic Subspacing in Random Forest -- Diversity and Locality in Multi-Component, Multi-Layer Predictive Systems: A Mutual Information Based Approach -- Hybrid Subspace Mixture Models For Prediction and Anomaly Detection in High Dimensions -- Classification and Clustering Methods -- StruClus: Scalable Structural Graph Set Clustering with Representative Sampling -- Employing Hierarchical Clustering and Reinforcement Learning for Attribute-based Zero-Shot Classification -- Environmental Sound Recognition using Masked Conditional Neural Networks -- Analyzing Performance of Classification Techniques in Detecting Epileptic Seizure -- A Framework for Clustering and Dynamic Maintenance of XML Documents -- Language-independent Twitter Classification using Character-based Convolutional Networks -- Behavior Modeling and User Profiling -- Modeling Check-in Behavior with Geographical Neighborhood Influence of Venues -- An empirical study on collective online behaviors of extremist supporters. -Your Moves, Your Device: Establishing Behavior Profiles using Tensors -- An Approach for Identifying Author Profiles of Blogs -- Generating Topics of Interests for Research Communities -- An Evolutionary Approach for Learning Conditional Preference Network from Inconsistent Examples -- Bioinformatic and Medical Data Analysis -- Predicting Clinical Outcomes of Alzheimer's Disease from Complex Brain Networks -- Doctoral Advisor or Medical Condition: Towards Entity-specific Rankings of Knowledge Base Properties -- Multiclass Lung Cancer Diagnosis by Gene Expression Programming and Microarray Datasets -- Drug-drug Interaction Extraction via Recurrent Neural Network with Multiple Attention Layers -- Spatio-temporal Data -- People-Centric Mobile Crowdsensing Platform for Urban Design -- Long-Term User Location Prediction Using Deep Learning and Periodic Pattern Mining -- An Intelligent Weighted Fuzzy Time Series Model Based on A Sine-Cosine Adaptive Human Learning Optimization Algorithm and Its Application to Financial Markets Forecasting -- Mobile Robot Scheduling with Multiple Trips and Time Windows -- Natural Language Processing and Text Mining -- Feature Analysis for Duplicate Detection in Programming QA Communities -- A Joint Human/Machine Process for Coding Events and Conflict Drivers -- Quality Prediction of Newly Proposed Questions in CQA by Leveraging Weakly Supervised Learning -- Improving Chinese Sentiment Analysis via Segmentation-based Representation Using Parallel CNN -- Entity Recognition by Distant Supervision with Soft List Constraint -- Structured Sentiment Analysis -- Data Mining Applications -- Improving Real-Time Bidding Using a Constrained Markov Decision Process -- PowerLSTM: Power Demand Forecasting Using Long Short-Term Memory Neural Network -- Identifying Unreliable Sensors Without a Knowledge of the Ground Truth in Deceptive Environments -- Color-sketch simulator: a guide for color-based visual known-item search -- Applications -- Making Use of External Company Data to Improve the Classification of Bank Transactions -- Mining Load Profile Patterns for Australian Electricity Consumers -- STA: a Spatio-temporal Thematic Analytics Framework for Urban Ground Sensing -- Privacy and Utility Preservation for Location Data Using Stay Region Analysis -- Location-aware Human Activity Recognition -- Demos -- SWYSWYK: a new Sharing Paradigm for the Personal Cloud -- Tools and Infrastructure for Supporting Enterprise Knowledge Graphs -- An Interactive Web-based Toolset for Knowledge Discovery from Short Text Log Data -- Carbon: Forecasting Civil Unrest Events by Monitoring News and Social Media -- A system for Querying and Analyzing Urban Regions -- Detect tracking behavior among trajectory data ; | en_US |
| dc.format.extent | 1 online resource (xvii, 881 pages) : ; illustrations ; | en_US |
| dc.format.extent | International conference proceedings ; | en_US |
| dc.format.extent | Includes author index ; | en_US |
| dc.publisher | Springer, | en_US |
| dc.relation.ispartofseries | Lecture notes in computer science, ; 0302-9743 ; ; 10604 ; | en_US |
| dc.relation.ispartofseries | Lecture notes in artificial intelligence ; | en_US |
| dc.relation.ispartofseries | LNCS sublibrary. SL 7, Artificial intelligence ; | en_US |
| dc.relation.ispartofseries | Lecture notes in computer science ; ; 10604. ; 0302-9743 ; | en_US |
| dc.relation.ispartofseries | Lecture notes in computer science. ; Lecture notes in artificial intelligence ; | en_US |
| dc.relation.ispartofseries | LNCS sublibrary. ; SL 7, ; Artificial intelligence ; | en_US |
| dc.relation.haspart | 9783319691794.pdf | en_US |
| dc.subject | Data mining ; Congresses ; | en_US |
| dc.title | Advanced data mining and applications : | en_US |
| dc.title.alternative | 13th International Conference, ADMA 2017, Singapore, November 5-6, 2017, Proceedings / | en_US |
| dc.title.alternative | ADMA 2017 ; | en_US |
| dc.type | Book | en_US |
| dc.publisher.place | Cham, Switzerland : | en_US |
| dc.classification.lc | QA76.9.D343 ; | en_US |
| Appears in Collections: | مهندسی فناوری اطلاعات | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 9783319691794.pdf | 57.05 MB | Adobe PDF | Preview File |
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | ADMA (Conference) ; (13th : ; 2017 : ; Singapore) ; | en_US |
| dc.contributor.author | Cong, Gao, ; editor ; | en_US |
| dc.contributor.author | Peng, Wen-Chih, ; 1973- ; editor ; | en_US |
| dc.contributor.author | Zhang, Wei Emma, ; editor ; | en_US |
| dc.contributor.author | Li, Chengliang, ; editor ; | en_US |
| dc.contributor.author | Sun, Aixin, ; editor ; | en_US |
| dc.date.accessioned | 2013 | en_US |
| dc.date.accessioned | 2020-05-17T08:30:47Z | - |
| dc.date.available | 2020-05-17T08:30:47Z | - |
| dc.date.issued | 2017 | en_US |
| dc.identifier.isbn | 9783319691794 ; (electronic bk.) ; | en_US |
| dc.identifier.isbn | 3319691791 ; (electronic bk.) ; | en_US |
| dc.identifier.isbn | 9783319691787 ; (print) ; | en_US |
| dc.identifier.uri | http://localhost/handle/Hannan/1653 | - |
| dc.description | en_US | |
| dc.description | Available to OhioLINK libraries ; | en_US |
| dc.description | Ohio Library and Information Network ; | en_US |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description | Printed edition: ; 9783319691787 ; | en_US |
| dc.description.statementofresponsibility | edited by Gao Cong, Wen-Chih Peng, Wei Emma Zhang, Chengliang Li, Aixin Sun | en_US |
| dc.description.tableofcontents | Database and Distributed Machine Learning -- Querying and Mining Strings Made Easy Distributed Training Large-Scale Deep Architectures -- Fault Detection and Localization in Distributed Systems using Recurrent Convolutional Neural Networks -- Discovering Group Skylines with Constraints by Early Candidate Pruning -- Comparing MapReduce-Based k-NN Similarity Joins On Hadoop For High-dimensional Data -- A Higher-Fidelity Frugal Quantile Estimator -- Recommender System -- Fair Recommendations Through Diversity Promotion -- A Hierarchical Bayesian Factorization Model for Implicit and Explicit Feedback Data -- Empirical Analysis of Factors Influencing Twitter Hashtag Recommendation on Detected Communities -- Group Recommender Model Based on Preference Interaction -- Identification of Grey Sheep Users By Histogram Intersection In Recommender Systems -- Social Network and Social Media -- A Feature-based Approach for the Redefined Link Prediction Problem in Signed Networks -- From Mutual Friends to Overlapping Community Detection: A Non-negative Matrix Factorization Approach -- Calling for Response: Automatically Distinguishing Situation-aware Tweets During Crises -- Efficient Revenue Maximization for Viral Marketing in Social Networks -- Generating Life Course Trajectory Sequences with Recurrent Neural Networks and Application to Early Detection on Social Disadvantage -- FRISK: A Multilingual Approach to Find twitteR InterestS via wiKipedia -- A Solution to Tweet-Based User Identification across Online Social Networks -- Machine Learning -- Supervised Feature Selection Algorithm Based on Low-Rank and Manifold Learning -- Mixed Membership Sparse Gaussian Conditional Random Fields -- Effects of Dynamic Subspacing in Random Forest -- Diversity and Locality in Multi-Component, Multi-Layer Predictive Systems: A Mutual Information Based Approach -- Hybrid Subspace Mixture Models For Prediction and Anomaly Detection in High Dimensions -- Classification and Clustering Methods -- StruClus: Scalable Structural Graph Set Clustering with Representative Sampling -- Employing Hierarchical Clustering and Reinforcement Learning for Attribute-based Zero-Shot Classification -- Environmental Sound Recognition using Masked Conditional Neural Networks -- Analyzing Performance of Classification Techniques in Detecting Epileptic Seizure -- A Framework for Clustering and Dynamic Maintenance of XML Documents -- Language-independent Twitter Classification using Character-based Convolutional Networks -- Behavior Modeling and User Profiling -- Modeling Check-in Behavior with Geographical Neighborhood Influence of Venues -- An empirical study on collective online behaviors of extremist supporters. -Your Moves, Your Device: Establishing Behavior Profiles using Tensors -- An Approach for Identifying Author Profiles of Blogs -- Generating Topics of Interests for Research Communities -- An Evolutionary Approach for Learning Conditional Preference Network from Inconsistent Examples -- Bioinformatic and Medical Data Analysis -- Predicting Clinical Outcomes of Alzheimer's Disease from Complex Brain Networks -- Doctoral Advisor or Medical Condition: Towards Entity-specific Rankings of Knowledge Base Properties -- Multiclass Lung Cancer Diagnosis by Gene Expression Programming and Microarray Datasets -- Drug-drug Interaction Extraction via Recurrent Neural Network with Multiple Attention Layers -- Spatio-temporal Data -- People-Centric Mobile Crowdsensing Platform for Urban Design -- Long-Term User Location Prediction Using Deep Learning and Periodic Pattern Mining -- An Intelligent Weighted Fuzzy Time Series Model Based on A Sine-Cosine Adaptive Human Learning Optimization Algorithm and Its Application to Financial Markets Forecasting -- Mobile Robot Scheduling with Multiple Trips and Time Windows -- Natural Language Processing and Text Mining -- Feature Analysis for Duplicate Detection in Programming QA Communities -- A Joint Human/Machine Process for Coding Events and Conflict Drivers -- Quality Prediction of Newly Proposed Questions in CQA by Leveraging Weakly Supervised Learning -- Improving Chinese Sentiment Analysis via Segmentation-based Representation Using Parallel CNN -- Entity Recognition by Distant Supervision with Soft List Constraint -- Structured Sentiment Analysis -- Data Mining Applications -- Improving Real-Time Bidding Using a Constrained Markov Decision Process -- PowerLSTM: Power Demand Forecasting Using Long Short-Term Memory Neural Network -- Identifying Unreliable Sensors Without a Knowledge of the Ground Truth in Deceptive Environments -- Color-sketch simulator: a guide for color-based visual known-item search -- Applications -- Making Use of External Company Data to Improve the Classification of Bank Transactions -- Mining Load Profile Patterns for Australian Electricity Consumers -- STA: a Spatio-temporal Thematic Analytics Framework for Urban Ground Sensing -- Privacy and Utility Preservation for Location Data Using Stay Region Analysis -- Location-aware Human Activity Recognition -- Demos -- SWYSWYK: a new Sharing Paradigm for the Personal Cloud -- Tools and Infrastructure for Supporting Enterprise Knowledge Graphs -- An Interactive Web-based Toolset for Knowledge Discovery from Short Text Log Data -- Carbon: Forecasting Civil Unrest Events by Monitoring News and Social Media -- A system for Querying and Analyzing Urban Regions -- Detect tracking behavior among trajectory data ; | en_US |
| dc.format.extent | 1 online resource (xvii, 881 pages) : ; illustrations ; | en_US |
| dc.format.extent | International conference proceedings ; | en_US |
| dc.format.extent | Includes author index ; | en_US |
| dc.publisher | Springer, | en_US |
| dc.relation.ispartofseries | Lecture notes in computer science, ; 0302-9743 ; ; 10604 ; | en_US |
| dc.relation.ispartofseries | Lecture notes in artificial intelligence ; | en_US |
| dc.relation.ispartofseries | LNCS sublibrary. SL 7, Artificial intelligence ; | en_US |
| dc.relation.ispartofseries | Lecture notes in computer science ; ; 10604. ; 0302-9743 ; | en_US |
| dc.relation.ispartofseries | Lecture notes in computer science. ; Lecture notes in artificial intelligence ; | en_US |
| dc.relation.ispartofseries | LNCS sublibrary. ; SL 7, ; Artificial intelligence ; | en_US |
| dc.relation.haspart | 9783319691794.pdf | en_US |
| dc.subject | Data mining ; Congresses ; | en_US |
| dc.title | Advanced data mining and applications : | en_US |
| dc.title.alternative | 13th International Conference, ADMA 2017, Singapore, November 5-6, 2017, Proceedings / | en_US |
| dc.title.alternative | ADMA 2017 ; | en_US |
| dc.type | Book | en_US |
| dc.publisher.place | Cham, Switzerland : | en_US |
| dc.classification.lc | QA76.9.D343 ; | en_US |
| Appears in Collections: | مهندسی فناوری اطلاعات | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 9783319691794.pdf | 57.05 MB | Adobe PDF | Preview File |