A major research effort involves the management of structured data within the enterprise.The goal is to discover, index, monitor, and organize this type of data in order to make it easier to access high-quality datasets.The proliferation of machine learning means that learned classifiers lie at the core of many products across Google.Tags: Swot Analysis In A Business PlanConfucius Argumentative EssayCall For Research Paper In ManagementHow To Start Writing An EssaySchool Papers School PapersHannah Arendts Zur Zeit Politische EssaysCollege Paper Writing StylesSoil And Water Conservation EssayEssay Questions About Individuality
Manuscripts are peer-reviewed by the Associate and Review Editors of the respective specialty section.
Articles published in the specialty sections above will benefit from the Frontiers impact and tiering system after online publication.
A big challenge is in developing metrics, designing experimental methodologies, and modeling the space to create parsimonious representations that capture the fundamentals of the problem.
These problems cut across Google’s products and services, from designing experiments for testing new auction algorithms to developing automated metrics to measure the quality of a road map.
Some examples of such technologies include F1, the database serving our ads infrastructure; Mesa, a petabyte-scale analytic data warehousing system; and Dremel, for petabyte-scale data processing with interactive response times.
Dremel is available for external customers to use as part of Google Cloud’s Big Query.Google is deeply engaged in Data Management research across a variety of topics with deep connections to Google products.We are building intelligent systems to discover, annotate, and explore structured data from the Web, and to surface them creatively through Google products, such as Search (e.g., structured snippets, Docs, and many others).The overarching goal is to create a plethora of structured data on the Web that maximally help Google users consume, interact and explore information.Through those projects, we study various cutting-edge data management research issues including information extraction and integration, large scale data analysis, effective data exploration, etc., using a variety of techniques, such as information retrieval, data mining and machine learning.Indexing information is found at the indexing and abstracting page of IJCSSE.Google’s mission presents many exciting algorithmic and optimization challenges across different product areas including Search, Ads, Social, and Google Infrastructure.IJCSSE is an international scientific research journal focusing on issues in Computer Science research.A large number of manuscript inflows, reflects its popularity and the trust of world's research community.publishes rigorously peer-reviewed research across all areas of fundamental and applied computational sciences.Led by an outstanding Editorial Board of international researchers, this multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to academics, industry and the public worldwide.