Li et al., 2020 - Google Patents
A diagnostic procedure for high-dimensional data streams via missed discovery rate controlLi et al., 2020
- Document ID
- 485640099798288626
- Author
- Li W
- Xiang D
- Tsung F
- Pu X
- Publication year
- Publication venue
- Technometrics
External Links
Snippet
Monitoring complex systems involving high-dimensional data streams (HDS) provides quick real-time detection of abnormal changes of system performance, but accurate and efficient diagnosis of the streams responsible has also become increasingly important in many data …
- 238000002405 diagnostic procedure 0 title abstract description 33
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA 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
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA 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
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA 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
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Li et al. | A diagnostic procedure for high-dimensional data streams via missed discovery rate control | |
Hibbins et al. | Phylogenomic approaches to detecting and characterizing introgression | |
Li et al. | Selecting the number of principal components in functional data | |
Jeong et al. | Wavelet-based SPC procedure for complicated functional data | |
Capizzi | Recent advances in process monitoring: Nonparametric and variable-selection methods for phase I and phase II | |
Habshah et al. | The performance of diagnostic-robust generalized potentials for the identification of multiple high leverage points in linear regression | |
Hu et al. | Using maximum entry-wise deviation to test the goodness of fit for stochastic block models | |
JP7423998B2 (en) | Visual analysis frameworks, methods, programs, devices, and systems for understanding missing links in bipartite networks | |
Xiang et al. | Fault classification for high‐dimensional data streams: A directional diagnostic framework based on multiple hypothesis testing | |
Tan et al. | A Bayesian approach for interpreting mean shifts in multivariate quality control | |
Ensor et al. | Statistical approaches for evaluating surrogate outcomes in clinical trials: a systematic review | |
Xiang et al. | Reliable post-signal fault diagnosis for correlated high-dimensional data streams | |
Wang et al. | Multiple outliers detection in sparse high-dimensional regression | |
Mason et al. | Monitoring variation in a multivariate process when the dimension is large relative to the sample size | |
Kim et al. | An adaptive step-down procedure for fault variable identification | |
Sogandi et al. | Monotonic change point estimation of generalized linear model-based regression profiles | |
Li | A two-stage online monitoring procedure for high-dimensional data streams | |
Feng et al. | A setwise EWMA scheme for monitoring high-dimensional datastreams | |
Yang et al. | Causal structure learning algorithm based on partial rank correlation under additive noise model | |
Yu et al. | Monitoring the data quality of data streams using a two-step control scheme | |
US7970785B2 (en) | Method and computer program product for using data mining tools to automatically compare an investigated unit and a benchmark unit | |
Moinfar et al. | Unsupervised deep disentangled representation of single-cell omics | |
Zhou et al. | Model-assisted and knowledge-guided transfer regression for the underrepresented population | |
Das et al. | Statistical monitoring of over-dispersed multivariate count data using approximate likelihood ratio tests | |
US6915282B1 (en) | Autonomous data mining |