Nothing Special   »   [go: up one dir, main page]

Kshatri et al., 2022 - Google Patents

Crime detection approach using big data analytics and machine learning

Kshatri et al., 2022

View PDF
Document ID
13743198285282149271
Author
Kshatri S
Bhonsle D
Verma R
Pillai A
Moyal V
Publication year
Publication venue
NeuroQuantology

External Links

Snippet

Abstract The Crime Analysis phase establishes the number of crimes and other elements such as the type of crime, murder, rape, kidnapping, etc. Various data analytics methodologies used in security and criminal investigation have shown the evolution of …
Continue reading at www.researchgate.net (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
    • G06F17/30587Details of specialised database models
    • G06F17/30595Relational databases
    • G06F17/30598Clustering or classification
    • 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
    • G06F17/3061Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30705Clustering or classification
    • G06F17/3071Clustering or classification including class or cluster creation or modification
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6279Classification techniques relating to the number of classes
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • 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
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/02Knowledge representation
    • G06N5/022Knowledge engineering, knowledge acquisition
    • 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
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/04Inference methods or devices
    • 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
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00Computer systems based on specific mathematical models
    • G06N7/005Probabilistic networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F15/00Digital computers in general; Data processing equipment in general
    • G06F15/18Digital computers in general; Data processing equipment in general in which a programme is changed according to experience gained by the computer itself during a complete run; Learning machines

Similar Documents

Publication Publication Date Title
Uddin et al. Prediction of future terrorist activities using deep neural networks
Hassani et al. A review of data mining applications in crime
Vural et al. Criminal prediction using Naive Bayes theory
Jassim et al. Comparative performance analysis of support vector regression and artificial neural network for prediction of municipal solid waste generation
Aldossari et al. A comparative study of decision tree and naive bayes machine learning model for crime category prediction in Chicago
Saeed et al. Application of machine learning algorithms in crime classification and classification rule mining
Kshatri et al. Crime detection approach using big data analytics and machine learning
Ateş et al. Big data, data mining, machine learning, and deep learning concepts in crime data
Solomon et al. A deep learning framework for predicting burglaries based on multiple contextual factors
Aziz et al. Cognizable crime rate prediction and analysis under Indian penal code using deep learning with novel optimization approach
Bangerter et al. Terrorist organization identification using link prediction over heterogeneous GNN
Boldt et al. Predicting burglars’ risk exposure and level of pre-crime preparation using crime scene data
Yin Crime Prediction Methods Based on Machine Learning: A Survey.
Tundis et al. Limits in the data for detecting criminals on social media
Batmaz et al. Overview of knowledge discovery in databases process and data mining for surveillance technologies and EWS
Zheng et al. Security alert: Generalized deep multi‐view representation learning for crime forecasting
Ribeiro et al. Prediction of homicides in urban centers: A machine learning approach
Saini et al. A Study of Lightweight Approaches to Analyze Crime Conditions in India
Johnson et al. GT-CHES: Graph transformation for classification in human evolutionary systems
Marimbire et al. Predicting the Effectiveness of ‘Stop and Search’Police Interventions Using Advanced Data Analytics
Hirithik et al. Crime Prediction and Analysis Using Multi Layer Perceptron
Pattnayak et al. Machine Learning Prediction Models on the Tendency of Criminals to Recurrence of Criminal Activities
Al-Osaimi Survey of crime data analysis using the Apriori algorithm
Jhee et al. Fast Prediction for Criminal Suspects through Neighbor Mutual Information‐Based Latent Network
Mason Analysis of Virginia Crime Data of the Year 2016 Using Data Mining Techniques