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Documents related to » machine learning and data mining


Six Steps to Manage Data Quality with SQL Server Integration Services
Six Steps to Manage Data Quality with SQL Server Integration Services. Read IT Reports Associated with Data quality. Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

MACHINE LEARNING AND DATA MINING:
9/9/2009 2:32:00 PM

Developing a Universal Approach to Cleansing Customer and Product Data
Developing a Universal Approach to Cleansing Customer and Product Data. Find Free Proposal and Other Solutions to Define Your Acquisition In Relation To Cleansing Customer and Product Data. Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.

MACHINE LEARNING AND DATA MINING:
6/1/2009 5:10:00 PM

The Truth about Data Mining
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data. Consequently, data mining technology becomes important. Here is a framework to help understand the data mining process.

MACHINE LEARNING AND DATA MINING: together techniques from statistics; machine learning (the design and development of algorithms that allow systems to learn and to improve their own performance based on their own experience); neural networks (mathematical or computational models based on nervous systems); database technology; high-performance computing (the use of supercomputers and computer clusters); and spatial data analysis (techniques to study entities using their topological, geometric, or geographic features)—to name a few.
6/19/2009

Achieving a Successful Data Migration
Achieving a Successful Data Migration. Solutions and Other Software to Delineate Your System and for Achieving a Successful Data Migration. The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.

MACHINE LEARNING AND DATA MINING: Achieving a Successful Data Migration Achieving a Successful Data Migration Source: Informatica Document Type: White Paper Description: The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.
10/27/2006 4:30:00 PM

Got Big Data? Net Big Dollars!
Data is growing at unprecedented rates. Data on customers, producers, underwriting, claims, and service providers is just part of the picture. This increase is being driven by social media and mobile devices adding text and other nonstructured, as well as structured, data. Read this report to find out about the tremendous payback that comes from managing huge repositories of data.

MACHINE LEARNING AND DATA MINING: big data management, data repositories.
2/11/2013 1:26:00 PM

It’s the Time to Master Your Master Data » The TEC Blog


MACHINE LEARNING AND DATA MINING: CRM, customer data, ERP, master data, master data management, MDM, PIM, product data, product information management, SCM, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
21-10-2009

Infor s Big Data Cloud in the Sky » The TEC Blog


MACHINE LEARNING AND DATA MINING: amazon redshift, bi, big data, Cloud, ERP, industry watch, infor, infor 10x, infor ion, infor mingle, infor sky vault, inforum 2013, sap hana, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
02-05-2013

2012 Business Data Loss Survey results
This report on the Cibecs and IDG Connect 2012 business data loss survey uncovers the latest statistics and trends around enterprise data protection. Download the full results now.

MACHINE LEARNING AND DATA MINING: data protection, data backup, 2012 data statistics, data loss, business data backup.
5/30/2012 5:47:00 AM

Data Mining: The Brains Behind eCRM
Data mining has emerged from obscure beginnings in artificial intelligence to become a viable and increasingly popular tool for putting data to work. Data mining is a set of techniques for automating the exploration of data and uncovering hidden truths.

MACHINE LEARNING AND DATA MINING: Data Mining: The Brains Behind eCRM Data Mining: The Brains Behind eCRM Steve McVey - November 6, 2000 Read Comments S. McVey - November 6, 2000 Introduction While customer relationship management (CRM) gets a lot of attention, one important component is often overlooked - how a company effectively uses its existing customer data to improve customer loyalty while also identifying new potential buyers of products and services. Data mining has emerged from obscure beginnings in artificial intelligence to
11/6/2000

Ask the Experts: Data Purging and System Migration » The TEC Blog


MACHINE LEARNING AND DATA MINING: data purging, ERP, plm, system migration, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
05-09-2008

Data Mining and Predictive Modeling for Condition-based Maintenance
Today’s military logistics agencies must sustain diverse fleets of costly, complex, and indispensible weapon systems and platforms. Modern predictive maintenance solutions can integrate with existing IT infrastructures to collect and transmit data from various platforms to a centralized condition-based maintenance (CBM) database. Learn more about how these solutions enable better-informed decisions regarding specific maintenance actions.

MACHINE LEARNING AND DATA MINING: data mining, mining data, predictive model, predictive modeling, condition based, maintenance predictive, data mining systems, database mining, data mining technology, data mining programs, data mining solutions, architecture of data mining, why data mining, data mining blogs, data mining blog, predictive scoring, predictive modeling tools, military data mining and predictive modeling for condition-based maintenance.
5/24/2011 1:13:00 PM


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