Special feature: statistics for high-frequency data
نویسندگان
چکیده
منابع مشابه
Feature Selection for Small Sample Sets with High Dimensional Data Using Heuristic Hybrid Approach
Feature selection can significantly be decisive when analyzing high dimensional data, especially with a small number of samples. Feature extraction methods do not have decent performance in these conditions. With small sample sets and high dimensional data, exploring a large search space and learning from insufficient samples becomes extremely hard. As a result, neural networks and clustering a...
متن کاملTowards Special-Purpose Indexes and Statistics for Uncertain Data
The Trio project at Stanford [35] for managing data, uncertainty, and lineage is developed on top of a conventional DBMS. Uncertain data with lineage is encoded in relational tables, and Trio queries are translated to SQL queries on the encoding. Such a layered approach reaps significant benefits in terms of architectural simplicity, and the ability to use an off-the-shelf query processing engi...
متن کاملComputation of Seasonal Statistics from Annual Data for Iran's Economy
This article has no abstract.
متن کاملImproved Statistics Estimation and Feature Extraction for Hyperspectral Data Classification
....................................................................................................................vii CHAPTER 1: INTRODUCTION...................................................................................1 1.1 Statement of the Problem...............................................................................1 1.2 Organization of This Report ...............................
متن کاملApplication of Open Data for Official Statistics, Case Study Data of Instagram Social Network
Abstract. Open data notion is based on the idea that emphasizes on free access of users to data to reuse them on their own and republish the result far from some restrictions of copyright, patent etc. Due to the ever increasing trend of Information and Communication Technology (ICT), more data is producing every day and this brings brilliant opportunity for National Statistical Offices (NSOs) ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Japanese Journal of Statistics and Data Science
سال: 2021
ISSN: 2520-8756,2520-8764
DOI: 10.1007/s42081-021-00117-z