Aggregations using Dates

I need to create a report with many aggregations some of which are based on dates.
For example:
Count Where Status = Closed AND Date Created >= Today() -365
Count % SR Where Status = Closed AND Date Created >= Today - 365
From what I understand, BI Publisher can manipulate dates and formats provided they are in the canonical format.
http://download.oracle.com/docs/cd/E12844_01/doc/bip.1013/e12187/T421739T481157.htm (date formats section)
This format is: YYYY-MM-DDThh:mm:ss+HH:MM ... e.g. 2005-01-01T09:30:10-07:00
The problem is, my data fields are not in canonical format they are as follows:
11/03/1999 10:59:49 and sometimes 09/15/1999
I also need a function for the aggregate condition that returns the current date.
So far I have got part of my aggregate working:
<?count(ssStatus[.='Closed'])?>
Questions:
Is it possible to manipulate the date format if the date field is not canonical and without using string functions?
Is there a function to return the current date/time in the same format as those I have?
How can this a comparison be written for Year to date? i.e. Today() - 365 ?
Thanks, John

No - I cant format the date strings at all, it looks like I will have to get them in canonical format to avoid using substrings.
Once in canonical format, how can I compare the system date to a canonical date?
Are there any functions/techniques to calculate the number of days difference i.e. YTD (Today - 365 days)
Would it be easy to add this conditional to my existing aggregate? for example...
<?count(ssStatus[.='Open'] ... AND ssDate >= Today -365 )?>

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user633278 wrote:
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I am hitting a bit of a problem when using the date datatype. When trying to save a row to the table where the field it throws an error ora 01830 and complains about converting the date format picture ends...etc. Now when I do the insert, I use the to_date function with the format of "dd-mon-yyyy hh24:mi:ss". Of course, when I remove the time element, everything is perfect.
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