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Showing 1 to 20 of 2294 for “"data sets"”.

  1. Concept Identification for Complex Data Sets

    Large and complex data sets play an essential role in many engineering and computer science applications. Revealing structures within data sets, such as groups of similar data samples or correlations between feature values, is often desirable. But generating such insights is far from trivial. The …

    bielefeld Repository record for Concept Identification for Complex Data Sets (opens in a new tab)

  2. Efficient structure search in large data sets

    … there has been rapid increase in the amount of data being generated and published; therefore there is an emerging need for efficiently managing and processing large data sets. Among the existing problems, structure search is an important topic with many real applications, such as substructure …

    unsw Repository record for Efficient structure search in large data sets (opens in a new tab)

  3. Shape Identication and Ranking in Temporal Data Sets

    … through pattern matching and other data mining techniques, but ideas combining the identification and comparison of shapes have received less attention. This dissertation fills the gap by presenting a set of shapes and their attributes, by which they can be identified, compared, and …

    maryland Repository record for Shape Identication and Ranking in Temporal Data Sets (opens in a new tab)

  4. Data cleaning techniques for software engineering data sets

    Data quality is an important issue which has been addressed and recognised in research communities such as data warehousing, data mining and information systems. It has been agreed that poor data quality will impact the quality of results of analyses and that it will therefore impact on decisions …

    brunel Repository record for Data cleaning techniques for software engineering data sets (opens in a new tab)

  5. Mining LEGO data sets to support LEGO design

    … could be put up together to build creative LEGO sets of different themes, such as a Volkswagen T1 Camper Van model (in ``Sculpture"" theme) or The Simpsons House model (in ``Town"" theme). LEGO accompanies nearly everyone from youth to adulthood. The age groups of fans range from kids in …

    uiuc Repository record for Mining LEGO data sets to support LEGO design (opens in a new tab)

  6. Interactive visualization framework for space plasma data sets

    The capability of visualizing numerical data sets to graphs is imperative to our understanding of space physics. However, traditional visualization tools used in the space science community are either proprietary, lack portability or require paid license subscriptions. Therefore we are attempting …

    uiuc Repository record for Interactive visualization framework for space plasma data sets (opens in a new tab)

  7. Decision tree classifiers for incident call data sets

    … the Information technology incident calls database of an oil and gas company as a case study. The approach was to explore the Information technology incident descriptions and their assigned subjects; thereafter the correctly-assigned records were used for training decision tree …

    cape-town Repository record for Decision tree classifiers for incident call data sets (opens in a new tab)

  8. Time-series analysis of multivariate manufacturing data sets

    Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.

    mit Repository record for Time-series analysis of multivariate manufacturing data sets (opens in a new tab)

  9. OPTIMAL SUBSEQUENCE BIJECTION AND CLASSIFICATION OF IMBALANCED DATA SETS

    … To address the problem of noisy time series data we propose using an algorithm that determines the optimal subsequence bijection (OSB) of a query and target time series. The OSB is efficiently computed since the problem’s solution is mapped to a cheapest path in a DAG (directed acyclic …

    temple Repository record for OPTIMAL SUBSEQUENCE BIJECTION AND CLASSIFICATION OF IMBALANCED DATA SETS (opens in a new tab)

  10. One-pass algorithms for large and shifting data sets

    … with the problem of ever-increasing amounts of data. Examples include the UniProt database of proteins which now contains ~6 million sequences, and the KDD ’99 data which consists of ~5 million points. At these scales, the state-of-the-art machine learning techniques are not applicable since the …

    soton Repository record for One-pass algorithms for large and shifting data sets (opens in a new tab)

  11. Practical methods for data mining with massive data sets

    The increasing size of data sets has necessitated advancement in exploratory techniques. Methods that are practical for moderate to small data sets become infeasible when applied to massive data sets. Advanced techniques such as binned kernel density estimation, tours, and mode-based projection …

    rice Repository record for Practical methods for data mining with massive data sets (opens in a new tab)

  12. Processing strategies for functional magnetic resonance imaging data sets

    Thesis (Ph.D.)--Harvard--Massachusetts Institute of Technology Division of Health Sciences and Technology, 1999.

    mit Repository record for Processing strategies for functional magnetic resonance imaging data sets (opens in a new tab)

  13. Modeling data sets using a continuum of beta distributions

    Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.

    mit Repository record for Modeling data sets using a continuum of beta distributions (opens in a new tab)

  14. Federating data sets for use in a map context

    The goal of this project is to federate data sets containing location information such that they can be used in a map context. There are numerous examples of these data sets around the MIT campus: asset data with the Property Office, equipment data with Facilities, ShuttleTrack data, student/staff …

    mit Repository record for Federating data sets for use in a map context (opens in a new tab)

  15. Visual exploratory analysis of large data sets : evaluation and application

    Large data sets are difficult to analyze. Visualization has been proposed to assist exploratory data analysis (EDA) as our visual systems can process signals in parallel to quickly detect patterns. Nonetheless, designing an effective visual analytic tool remains a challenge. This challenge is …

    ubc Repository record for Visual exploratory analysis of large data sets : evaluation and application (opens in a new tab)

  16. Mining, Indexing and Similarity Search in Large Graph Data Sets

    … may significantly deepen the understanding of data mining principles in structural pattern discovery, interpretation and search. The formulation of a general graph information system through this study could provide fundamental supports to graph-intensive applications in multiple domains.

    uiuc Repository record for Mining, Indexing and Similarity Search in Large Graph Data Sets (opens in a new tab)

  17. Data relocation and prefetching for programs with large data sets

    … loop structures that process large arrays of data. The execution of these loop structures often produces memory preference patterns that poorly utilize data caches. Limited associativity and cache capacity result in cache conflict misses. Also, non-unit stride access patterns can cause low …

    uiuc Repository record for Data relocation and prefetching for programs with large data sets (opens in a new tab)

  18. Automatic detection of periodic sources in the K2 data sets

    … for the detection of periodic sources in the K2 data sets. Fast discreet Fourier transformations are used to compute the Fourier spectra of the targets and two different detection algorithms for identifying significant signals are used. The first technique searches through the DFT to identify …

    mit Repository record for Automatic detection of periodic sources in the K2 data sets (opens in a new tab)

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