بخشی از مقدمه: ما به تدریج با این واقعیت رشد کرده ایم که حجم عظیمی از داده ها وجود دارد که کامپیوترها، شبکه ها و در حقیقت تمام زندگی مارا فرا گرفته است. سازمان های دولتی، مؤسسات علمی و تجاری ،سرمایه هنگفتی را برای جمع آوری و ذخیره این داده ها اختصاص داده اند. در حالی که فقط مقدار کمی از این داده ...
ابزار هوشمندی کسب و کار، هوش تجاری، داده کاوی و بیگ دیتا فرابر ...
www.farabar.net/Cached
Similarمعرفی اجمالی راهکار جامع فرابر. فرابر، مجموعهای از نرمافزارها و خدمات یکپارچه در حوزه
هوشمندی کسبوکار (BI) است که راهکارهای هوشمندی سازمان را در اختیار مدیران و
کارشناسان قرار میدهد. تجربه یک دهه تیم اجرایی فرابر در بیش از سیصد و یازده
سازمانهای دولتی و خصوصی، تیم اجرایی فرابر را قادر ساخته است تا با استفاده از
کادر تخصصی ...
Data mining - Wikipedia
https://en.wikipedia.org/wiki/Data_miningCached
SimilarData mining is the computing process of discovering patterns in large data sets
involving methods at the intersection of machine learning, statistics, and
database systems. It is an essential process where intelligent methods are
applied to extract data patterns. It is an interdisciplinary subfield of computer
science. The overall ...
دادهکاوی - ویکیپدیا، دانشنامهٔ آزاد
https://fa.wikipedia.org/wiki/دادهکاویCached
Similarداده کاوی به بهرهگیری از ابزارهای تجزیه و تحلیل دادهها به منظور کشف الگوها و روابط
معتبری که تا کنون ناشناخته بودهاند اطلاق میشود. این ابزارها ممکن است مدلهای آماری،
الگوریتمهای ریاضی و روشهای یاد گیرنده (Machine Learning Methods) باشند که
کار این خود را به صورت خودکار و بر اساس تجربهای که از طریق شبکههای عصبی (
Neural ...
Data Warehousing and Mining: Concepts, Methodologies, Tools, and ... - Google Books Result
https://books.google.com/books?isbn=159904952X
Wang, John - 2008 - Technology & Engineering
Atanepistemological level, the concept of strategy, as it is represented in data
mining literature, is also another factor causing confusion. The generally agreed
understanding of strategy evident in management, business and strategy
literature is that it is the point of mediation and interpretation between the
organization and ...Java Data Mining: Strategy, Standard, and Practice: A Practical ... - Google Books Result
https://books.google.com/books?isbn=0080495915
Mark F. Hornick, Erik Marcadé, Sunil Venkayala - 2010 - Computers
One purpose of this chapter is to show how some traditional data mining
functionalities, or modules, can be implemented using JDM. Tools are often
aligned with data mining methodologies such as CRISP-DM (discussed in
Chapter 3). This chapter shows how to easily build tools to cover aspects of: •
Data exploration ...Data Mining: Concepts, Methodologies, Tools, and Applications: ... - Google Books Result
https://books.google.com/books?isbn=1466624566
Management Association, Information Resources - 2012 - Computers
Therefore, other options that do not need to rely on a domain specialist are
promising. Additionally, a continuous monitoring of all the possible test cases
would potentially require an unlimited set of expert rated solutions, which is
rather unfeasible. We provide a data mining method that relies on external data
from other data ...Best Data Mining Tools - 2018 Reviews, Pricing & Demos
https://www.softwareadvice.com/bi/data-mining-comparison/Cached4 days ago ... Like with any software application, data mining solutions require the right
questions to discover useful answers within data. For example, if you are
evaluating data mining tools from enterprise vendor SAS, do you have analysts
versed in the sample, explore, modify, model, assess (SEMMA) framework used ...
Nine questions for evaluating data-mining tools - Computer Weekly
www.computerweekly.com/.../Nine-questions-for-evaluating-data-mining-toolsCached
SimilarHow is data accessed? Some tools force data to be extracted from its source and
put into the solution's proprietary format. Others support direct access to the data
sources. 4. Which models are supported? Some data-mining tools and solutions
support only one or two modelling types. Will this be enough to support analysis ...
Data Mining Software: a comparison of the best Tools - 1&1
https://www.1and1.com/.../a-comparison-of-data-mining-tools/CachedDec 20, 2017 ... In order to carry out a comparison of the best data mining tools, we will introduce
the tools, RapidMiner, WEKA, Orange, KNIME, and SAS. It has been proven that
users use .... It is also frequently used in the banking sector and offers optimal
solutions for BI and web mining. Among other things, it has its own ...
Oracle Data Mining
www.oracle.com/technetwork/database/options/.../odm/.../index.htmlCachedOracle Data Mining (ODM), a component of the Oracle Advanced Analytics
Database Option, provides powerful data mining algorithms that enable data
analytsts to discover insights, make predictions and leverage their Oracle data
and investment. With ODM, you can build and apply predictive models inside the
Oracle ...