From nninov at rosettastone.com Wed Aug 6 16:31:45 2008 From: nninov at rosettastone.com (Ninov, Nino) Date: Wed, 6 Aug 2008 16:31:45 -0400 Subject: [Clug-l] Help with Text Mining for Clementine Message-ID: <1002A5962B6C7B47AE2BC503549E29A80195DF70@RSHBGEXVS1.rosettastone.local> Hi, I just bought Clementine and Text Mining for Clementine. I wonder if there are any written manuals, guides, etc. on Text Mining with Clementine that you would recommend. I enrolled in training classes but the classes are in September and I would like to gain some familiarity with Text Mining sooner. Also, I am looking for experts at text mining in the Washington DC area who can help me with an urgent project for Rosetta Stone. Thanks, Nino G. Ninov Vice President Strategic Research and Analysis Rosetta Stone nninov at rosettastone.com Cell phone: (703)459-0963 Office phone: (703)387-5805 -------------- next part -------------- An HTML attachment was scrubbed... URL: http://cammlist1.spss.com/pipermail/clug-l/attachments/20080806/19439191/attachment.html From amora_johnny at yahoo.com Mon Aug 25 08:33:38 2008 From: amora_johnny at yahoo.com (Johnny Amora) Date: Mon, 25 Aug 2008 05:33:38 -0700 (PDT) Subject: [Clug-l] Pdf copy of Data mining references Message-ID: <118681.52012.qm@web53403.mail.re2.yahoo.com> Hello everyone, ? I would appreciate if someone would email the pdf?copy of the following: ? Data Mining in Action: Case Studies of Enrollment Management: New Directions for Institutional Research, Number 131, Fall 2006 ? with contents as follows: 1. Data Mining: Going Beyond Traditional Statistics (Chun-Mei Zhao, Jing Luan) 2. Estimating Student Retention and Degree-Completion Time: Decision Trees and Neural Networks Vis-?-Vis Regression (Serge Herzog) 3. Considering Student Mobility in Retention Outcomes (Sutee Sujitparapitaya) 4. Applying Data Mining to Predict College Admissions Yield: A Case Study (Lin Chang) 5. Expanding the Role of Institutional Research at Small Private Universities: A Case Study in Enrollment Management Using Data Mining (Christopher M. Antons, Elliot N. Maltz) 6. Using Data Mining to Explore Which Students Use Advanced Placement to Reduce Time to Degree (Paul W. Eykamp) 7. Let the Data Talk: Developing Models to Explain IPEDS Graduation Rates (Brenda L. Bailey) 8. Practicing Data Mining for Enrollment Management and Beyond (Jing Luan, Chun-Mei Zhao) ? Thank you. Johnny -------------- next part -------------- An HTML attachment was scrubbed... URL: http://cammlist1.spss.com/pipermail/clug-l/attachments/20080826/cd00345f/attachment-0001.html From Pieter.Lievyns at thom.eu Tue Aug 19 07:54:13 2008 From: Pieter.Lievyns at thom.eu (Pieter Lievyns) Date: Tue, 19 Aug 2008 13:54:13 +0200 Subject: [Clug-l] Clementine Merge Keys Message-ID: <455A31423D046E42B536EF83A2EAB55C010F871A@Saturn.eyebox.local> Hello, I am preparing data for an analysis and want to merge three databases with the same structure in Clementine. They all contain the same variables. However, in the merge node, I only get three variables-names as possible keys, while I need to use other ones. Can anybody clarify what can be the reason for not getting all possible keys and suggest a solution? I think the issue might be that the variable I want to use as a key is indicated as 'typeless' after doing 'read values'. However, indicating the type of the data myself, doesn't help either. Any help on this one, would be of great support! ________________________________ Pieter Lievyns Mobile +32 (0)495 29 31 14 Office +32 (0)15 45 05 50 Fax +32 (0)15 45 05 51 The House of Marketing Schuttersvest 75 B-2800 Mechelen Belgium Check our Corporate Website Read our latest Marketing Buzz Join the Mingle Zone , the online network of Marketing Professionals Read our Weblog on Marketing and Innovation ________________________________ This e-mail and any attachment thereto may contain information which is confidential and/or protected by intellectual property rights and are intended for the sole use of the addressees. Any use of the information contained herein (including but not limited to total or partial reproduction or distribution in any form) by other persons than the addressees is prohibited. If you have received this e-mail in error, please notify the sender and delete its contents. -------------- next part -------------- An HTML attachment was scrubbed... URL: http://cammlist1.spss.com/pipermail/clug-l/attachments/20080826/5e927530/attachment-0001.html -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: image/gif Size: 4560 bytes Desc: image001.gif Url : http://cammlist1.spss.com/pipermail/clug-l/attachments/20080826/5e927530/attachment-0001.gif From Tim.Manns at optus.com.au Tue Aug 26 19:10:02 2008 From: Tim.Manns at optus.com.au (Tim Manns) Date: Wed, 27 Aug 2008 09:10:02 +1000 Subject: [Clug-l] Clementine Merge Keys In-Reply-To: <455A31423D046E42B536EF83A2EAB55C010F871A@Saturn.eyebox.local> Message-ID: <81B897DF431C3F4985B7D6D40B1B4D679EDEAB66E9@excprdmbxw001.optus.com.au> Hello Peter, Via SQL and other programming languages it is possible to join/merge database tables together using any named columns/fields. In order to keep things simple, Clementine's user interface assumes that whichever columns/fields you want to join must have the same name You can use a Filter node to rename columns/fields before you join/merge them. Ensuring the fields have the same name (and case sensitive) should fix your problem of not seeing the fields in the merge node editor. The type node shouldn't have any impact on whether you see the fields you can merge. The type node can cause problems if you have it configured to read values and you have a lot of data. I personally only use the Type node where it is needed (which is often prior to modelling nodes). Cheers Tim - - - - - - - Tim Manns Consumer Marketing Optus -----Original Message----- From: clug-l-bounces at spss.com [mailto:clug-l-bounces at spss.com] On Behalf Of Pieter Lievyns Sent: Tuesday, 19 August 2008 9:54 PM To: clug-l at spss.com Subject: [Clug-l] Clementine Merge Keys Hello, I am preparing data for an analysis and want to merge three databases with the same structure in Clementine. They all contain the same variables. However, in the merge node, I only get three variables-names as possible keys, while I need to use other ones. Can anybody clarify what can be the reason for not getting all possible keys and suggest a solution? I think the issue might be that the variable I want to use as a key is indicated as 'typeless' after doing 'read values'. However, indicating the type of the data myself, doesn't help either. Any help on this one, would be of great support! ________________________________ Pieter Lievyns [cid:image001.gif at 01C90824.AF125970] Mobile +32 (0)495 29 31 14 Office +32 (0)15 45 05 50 Fax +32 (0)15 45 05 51 The House of Marketing Schuttersvest 75 B-2800 Mechelen Belgium Check our Corporate Website Read our latest Marketing Buzz Join the Mingle Zone, the online network of Marketing Professionals Read our Weblog on Marketing and Innovation ________________________________ This e-mail and any attachment thereto may contain information which is confidential and/or protected by intellectual property rights and are intended for the sole use of the addressees. Any use of the information contained herein (including but not limited to total or partial reproduction or distribution in any form) by other persons than the addressees is prohibited. If you have received this e-mail in error, please notify the sender and delete its contents. -------------- next part -------------- An HTML attachment was scrubbed... URL: http://cammlist1.spss.com/pipermail/clug-l/attachments/20080828/78f9ec27/attachment.html -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.gif Type: image/gif Size: 4560 bytes Desc: image001.gif Url : http://cammlist1.spss.com/pipermail/clug-l/attachments/20080828/78f9ec27/image001.gif