[go: up one dir, main page]

Gurukar et al., 2015 - Google Patents

Commit: A scalable approach to mining communication motifs from dynamic networks

Gurukar et al., 2015

View PDF
Document ID
8515861919562570132
Author
Gurukar S
Ranu S
Ravindran B
Publication year
Publication venue
Proceedings of the 2015 ACM SIGMOD international conference on management of data

External Links

Snippet

A fundamental problem in behavioral analysis of human interactions is to understand how communications unfold. In this paper, we study this problem by mining Communication motifs from dynamic interaction networks. A communication motif is a recurring subgraph …
Continue reading at space.cse.iitm.ac.in (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386Retrieval requests
    • G06F17/30424Query processing
    • G06F17/30533Other types of queries
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30587Details of specialised database models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30943Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type
    • G06F17/30946Information retrieval; Database structures therefor; File system structures therefor details of database functions independent of the retrieved data type indexing structures
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063Operations research or analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F21/00Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F7/00Methods or arrangements for processing data by operating upon the order or content of the data handled
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce, e.g. shopping or e-commerce
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00Computer systems based on specific mathematical models
    • G06N7/005Probabilistic networks

Similar Documents

Publication Publication Date Title
Gurukar et al. Commit: A scalable approach to mining communication motifs from dynamic networks
Shen et al. Mining frequent graph patterns with differential privacy
Jin et al. Distance-constraint reachability computation in uncertain graphs
Wang et al. Efficiently estimating motif statistics of large networks
EP2863309B1 (en) Contextual graph matching based anomaly detection
Sun et al. When will it happen? relationship prediction in heterogeneous information networks
Petersen et al. Power law distributions in information retrieval
Cheng et al. Efficient top-k vulnerable nodes detection in uncertain graphs
Cheng et al. Fblg: A simple and effective approach for temporal dependence discovery from time series data
Huang et al. Temporal graph traversals: Definitions, algorithms, and applications
Jiang et al. Estimating missing data in data streams
Abushal et al. Estimating the Pareto parameters under progressive censoring data for constant-partially accelerated life tests
Rong et al. A model-free approach to infer the diffusion network from event cascade
Oettershagen et al. Temporal walk centrality: ranking nodes in evolving networks
Kumar et al. Community-enhanced link prediction in dynamic networks
El Hajj et al. Screening multi‐dimensional heterogeneous populations for infectious diseases under scarce testing resources, with application to COVID‐19
Golsefid et al. Fuzzy community detection model in social networks
Xu et al. Generative models for evolutionary clustering
Braun et al. Item-centric mining of frequent patterns from big uncertain data
TK et al. Identifying sensitive data items within hadoop
Anandkumar et al. Tracking in a spaghetti bowl: monitoring transactions using footprints
Wang et al. Co-location social networks: Linking the physical world and cyberspace
Wen et al. Crossing scientific workflow fragments discovery through activity abstraction in smart campus
Zhu et al. Structural attack to anonymous graph of social networks
Chen et al. Towards contiguous sequences in uncertain data