| 000 | 01421cam a2200385 i 4500 | ||
|---|---|---|---|
| 001 | 17722959 | ||
| 003 | OSt | ||
| 005 | 20210930193303.0 | ||
| 008 | 130503t20132013ne a 001 0 eng | ||
| 010 | _a 2013010542 | ||
| 020 | _a9780124046191 (pbk.) | ||
| 020 | _a0124046193 (pbk.) | ||
| 020 | _z9780124046948 (electronic bk.) | ||
| 020 | _z0124046940 (electronic bk.) | ||
| 040 |
_aDLC _beng _cDLC _erda _dDLC |
||
| 042 | _apcc | ||
| 050 | 0 | 0 |
_aZA4235 _b.B43 2013 |
| 082 | 0 | 0 |
_a006.3 _223 |
| 100 | 1 |
_aBeasley, Michael, _d1980- |
|
| 245 | 1 | 0 |
_aPractical web analytics for user experience : _bhow analytics can help you understand your users / _cMichael Beasley, UX Designer, ITHAKA, Ypsilanti, Michigan, USA. |
| 264 | 1 |
_aAmsterdam ; _aBoston : _bMorgan Kaufmann, an imprint of Elsevier, _c[2013] |
|
| 264 | 4 | _c♭2013 | |
| 300 |
_axv, 234 pages : _billustrations ; _c24 cm |
||
| 336 |
_atext _2rdacontent |
||
| 337 |
_aunmediated _2rdamedia |
||
| 338 |
_avolume _2rdacarrier |
||
| 500 | _aIncludes index. | ||
| 505 | 0 | _aPt. 1. Introduction to web analytics -- pt. 2. Learning about users through web analytics -- pt. 3. Advanced topics. | |
| 650 | 0 | _aWeb usage mining. | |
| 650 | 0 |
_aInternet users _xAttitudes. |
|
| 650 | 0 |
_aWeb sites _xDevelopment. |
|
| 906 |
_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg |
||
| 942 |
_2lcc _cBK |
||
| 999 |
_c3362 _d3362 |
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