Process and heuristic statistic for prospect selection through data mining
An initial set of prospects in a customer database is identified, by data mining, as initially identified prospects based on predetermined selection criteria. The number of initially identified prospects is compared to a target number of prospects. When the number of initially identified prospects m...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Patent |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | |
| creator | ROLLINS JOHN BAXTER HALE CURTIS RICHARD |
| description | An initial set of prospects in a customer database is identified, by data mining, as initially identified prospects based on predetermined selection criteria. The number of initially identified prospects is compared to a target number of prospects. When the number of initially identified prospects matches the target number of prospects, the initially identified prospects are utilized as the final selection of prospects. When the number of initially identified prospects mismatches the target number of prospects, the final selection of prospects is determined by performing a culling process or an augmenting process to reduce or increase, respectively, the initial set of prospects using a heuristic measure H, until the number of prospects in the initial set of prospects matches the target number of prospects. |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_US8036931B2</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>US8036931B2</sourcerecordid><originalsourceid>FETCH-epo_espacenet_US8036931B23</originalsourceid><addsrcrecordid>eNqNyjEKAkEMQNFpLES9Qy4gqAOiraKIlaDWS5jN7gysyZBk76-gB7B6v_jTcL2pJDID5BYyjVrMSwJz9G91olBVrFJyMBo-FGHwrDL2GVp0hFfhwv08TDocjBY_ZwHOp8fxsqQqDVnFREzePO-7Vdzu4_qwiX8sbwoUNXM</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Process and heuristic statistic for prospect selection through data mining</title><source>esp@cenet</source><creator>ROLLINS JOHN BAXTER ; HALE CURTIS RICHARD</creator><creatorcontrib>ROLLINS JOHN BAXTER ; HALE CURTIS RICHARD</creatorcontrib><description>An initial set of prospects in a customer database is identified, by data mining, as initially identified prospects based on predetermined selection criteria. The number of initially identified prospects is compared to a target number of prospects. When the number of initially identified prospects matches the target number of prospects, the initially identified prospects are utilized as the final selection of prospects. When the number of initially identified prospects mismatches the target number of prospects, the final selection of prospects is determined by performing a culling process or an augmenting process to reduce or increase, respectively, the initial set of prospects using a heuristic measure H, until the number of prospects in the initial set of prospects matches the target number of prospects.</description><language>eng</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2011</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20111011&DB=EPODOC&CC=US&NR=8036931B2$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25562,76317</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20111011&DB=EPODOC&CC=US&NR=8036931B2$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ROLLINS JOHN BAXTER</creatorcontrib><creatorcontrib>HALE CURTIS RICHARD</creatorcontrib><title>Process and heuristic statistic for prospect selection through data mining</title><description>An initial set of prospects in a customer database is identified, by data mining, as initially identified prospects based on predetermined selection criteria. The number of initially identified prospects is compared to a target number of prospects. When the number of initially identified prospects matches the target number of prospects, the initially identified prospects are utilized as the final selection of prospects. When the number of initially identified prospects mismatches the target number of prospects, the final selection of prospects is determined by performing a culling process or an augmenting process to reduce or increase, respectively, the initial set of prospects using a heuristic measure H, until the number of prospects in the initial set of prospects matches the target number of prospects.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2011</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNyjEKAkEMQNFpLES9Qy4gqAOiraKIlaDWS5jN7gysyZBk76-gB7B6v_jTcL2pJDID5BYyjVrMSwJz9G91olBVrFJyMBo-FGHwrDL2GVp0hFfhwv08TDocjBY_ZwHOp8fxsqQqDVnFREzePO-7Vdzu4_qwiX8sbwoUNXM</recordid><startdate>20111011</startdate><enddate>20111011</enddate><creator>ROLLINS JOHN BAXTER</creator><creator>HALE CURTIS RICHARD</creator><scope>EVB</scope></search><sort><creationdate>20111011</creationdate><title>Process and heuristic statistic for prospect selection through data mining</title><author>ROLLINS JOHN BAXTER ; HALE CURTIS RICHARD</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_US8036931B23</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng</language><creationdate>2011</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>ROLLINS JOHN BAXTER</creatorcontrib><creatorcontrib>HALE CURTIS RICHARD</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ROLLINS JOHN BAXTER</au><au>HALE CURTIS RICHARD</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Process and heuristic statistic for prospect selection through data mining</title><date>2011-10-11</date><risdate>2011</risdate><abstract>An initial set of prospects in a customer database is identified, by data mining, as initially identified prospects based on predetermined selection criteria. The number of initially identified prospects is compared to a target number of prospects. When the number of initially identified prospects matches the target number of prospects, the initially identified prospects are utilized as the final selection of prospects. When the number of initially identified prospects mismatches the target number of prospects, the final selection of prospects is determined by performing a culling process or an augmenting process to reduce or increase, respectively, the initial set of prospects using a heuristic measure H, until the number of prospects in the initial set of prospects matches the target number of prospects.</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | eng |
| recordid | cdi_epo_espacenet_US8036931B2 |
| source | esp@cenet |
| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Process and heuristic statistic for prospect selection through data mining |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-10T08%3A33%3A48IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=ROLLINS%20JOHN%20BAXTER&rft.date=2011-10-11&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3EUS8036931B2%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |