bad data

Since the double whammy of bad data, forecasters have been lining up to declare the onset of a US recession.

Bad data is often rooted in human behavior, which hard-coded validation rules cannot fix.

Equities, which had been flat most of the week, dropped sharply today on a raft of bad data.

One form of hacker attack even involves feeding bad data to ARP tables, a practice known as ARP poisoning.

Doing so enables a schema validator to flag when bad data enters the system so you do not have to expend the effort.

In fuzz testing, you attack a program with random bad data (aka fuzz), then wait to see what breaks.

Despite bad data security causing so much trouble, the whole problem can be summarized in five words: Know what you are getting.

The software must maintain a vigilant watch for bad data, like a customs official at a border crossing.

To understand how to deal with bad data, you should get familiar with some of the basic problems you face.

If the old system has insufficient constraints and the new system does , then bad data will enter the old system and break your migration .

according to probability analyzing , , this method can get rid of a part of bad data enhancing the reliability of data greatly.

The long time serial remote sensing images include a lot of noise and bad data, which brought many difficulties onto the classification.

Strictly speaking, these projects represent a cost of bad data in addition to degradation of business performance.

The existence of Bad data is a key component affecting the accuracy of bus load forecasting.

In most cases, the refactoring efforts pale in comparison to the risks and costs associated with bad data.

Most bad data is much less egregious, and is more often a result of typos, transposed tracks, and the like.

Then the bad data could appear on a page, or in a database, or the inserted script could run.

What if someone is deliberately introducing bad data in the hopes of breaching your program's security?

It doesn't matter how good the database software is -- if you put bad data in a database, nothing else matters.

Similarly, bad data has a pervasive negative impact on business performance.

Improved empirical model is carried out by enhancing the density of sampled data, relinquishing the bad data, and duplicated fitting.

Another problem may manifest itself with bad data coming from an important database query.

Why can't Word recognize when it's received bad data and simply put up an error message?

MDM gives businesses a way to correct bad data and the processes that create bad data at the source.

If you are passing arrays or pointers, then you REALLY better be watching for errors or bad data.

Errors in forecasting can result from bad data, wrong assumptions or a faulty model.

Netscape has encountered bad data from the server.

It's a bad data mining model for this data.

The server has encountered bad data from the client.

The drawback, however, is that bad data frames, as well as good frames, are sent to their destinations.

This flexibility, however, comes at a big cost -- your system is more vulnerable to bad data.

There is no transparency and accountability, and this is the root cause of bad data.

The result is, potentially, bad data.

Conventions for addressing null values are also important, as is what to do when we receive bad data.

Last, it is very, very hard to fix bad data using technical tools alone.

Capture bad data by using error outputs.

You can try also " Cut Off Bad Data" .

The stub received bad data.

If we're using the wrong mask, that means we're either throwing out real data, which is bad , or we're keeping bad data, which is worse .

There is a staggering amount of bad data on adultery, but the figures we can trust come largely thanks to HIV.

Bad data structure initializations going out of bounds of the allocated memory

Eliminate the risk and uncertainty of proliferating bad data throughout the enterprise

Programming for Hybrid Detection and Identification of Bad Data in State Estimation

Development of the Testing Bad Data Software for Large-Diameter Measuring Apparatus

Application of wavelet analysis to bad data identification for power system

Identification of Bad Data of Electric Power System State Estimation

Application of GSA-based Elbow Judgment on Bad-data Detection of Power System

Application of ISODATA to Bad-Data Identification in Distribution Networks

On bad data correcting for distribution systems

Savings from better data quality (lower cost to fix bad data)

Troubleshooting Bad Data by Using Error Outputs

A Practical Method for Bad Data Processing

A New Method to Detect and Identify Bad Data Based on Correlativity of Measured Data in Power System

The identification algorithm of bad data in power system based on GSA

You receive bad data or an error message when you perform a WMI query against a Windows Driver Model kernel provider in Windows Server 2003

FIX: Random 0x00000050 error message when a software program sends bad data that logs a WMI event in Windows Server 2003